


default search action
Lorenzo Bruzzone
Person information
- affiliation: University of Trento, Italy
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2026
[j370]Nabajyoti Das
, Swarnajyoti Patra
, Lorenzo Bruzzone
:
Dual-Branch ViT With Polarimetric Spatial Profile for PolSAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 23: 1-5 (2026)
[j369]Devika Revikumar, Akshara Preethy Byju
, Lorenzo Bruzzone
:
Saliency-Guided Feature Mining Network for Multi-Scale Fine-Grained Scene Classification in Remote Sensing Image Archives. IEEE Geosci. Remote. Sens. Lett. 23: 1-5 (2026)
[j368]Wei Chen, Lorenzo Bruzzone
, Bo Dang
, Yuan Gao
, Youming Deng, Jin-Gang Yu
, Liangqi Yuan
, Yansheng Li
:
REST: Holistic Learning for End-to-End Semantic Segmentation of Whole-Scene Remote Sensing Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 48(1): 693-710 (2026)- 2025
[j367]Daifeng Peng
, Xuelian Liu, Yongjun Zhang, Haiyan Guan, Yansheng Li, Lorenzo Bruzzone:
Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges. Int. J. Appl. Earth Obs. Geoinformation 136: 104282 (2025)
[j366]Qiongjie Xu
, Vasil Yordanov
, Lorenzo Bruzzone
, Maria Antonia Brovelli
:
High-Resolution Global Land Cover Maps and Their Assessment Strategies. ISPRS Int. J. Geo Inf. 14(6): 235 (2025)
[j365]Amos Bortiew
, Swarnajyoti Patra
, Lorenzo Bruzzone:
Dictionary learning using novel multiscale context sensitive spectral features for classification of hyperspectral imagery. Knowl. Based Syst. 324: 113853 (2025)
[j364]Yongjie Zheng
, Sicong Liu
, Lorenzo Bruzzone
:
Scribble-Guided Structural Regression Fusion for Multimodal Remote Sensing Change Detection. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025)
[j363]Linlin Wang
, Junping Zhang
, Dong Chen
, Lorenzo Bruzzone
:
PAdaptCD: Progressive Adaptive Thresholding and Bitemporal Image Augmentation for Semisupervised Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 17687-17705 (2025)
[j362]Ludovica Maria Beati
, Massimo Santoni
, Marco Cortellazzi
, Lorenzo Bruzzone
:
An Approach to Quick-Look Analysis of Radar Sounder Data Acquired in Planetary Missions. IEEE Trans. Geosci. Remote. Sens. 63: 1-18 (2025)
[j361]Jordy Dal Corso
, Lorenzo Bruzzone
:
A Convolutional Recurrent Bottleneck and Vertical Nonlocal Operations for the Weakly Supervised Semantic Segmentation of Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 63: 1-20 (2025)
[j360]Abhishek Singh
, Lorenzo Bruzzone
:
Wavelet-Based Deep Generative Framework for Super Resolution of Low-Resolution Labeled Maps and Weak-Supervised Learning. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025)
[j359]Chen Yang
, Minghao Zhao
, Lorenzo Bruzzone
, Renchu Guan
, Haishi Zhao
:
Cross-Modality Adaptive Feature Fusion for Multitype and Multiscale Impact Craters Identification on Mars. IEEE Trans. Geosci. Remote. Sens. 63: 1-13 (2025)
[j358]Milkisa Yebasse
, Lorenzo Bruzzone
:
A Spatially Aware Few-Shot Approach to Classification of Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025)
[j357]Jing Zhang, Lei Ding
, Tingyuan Zhou
, Jian Wang
, Peter M. Atkinson
, Lorenzo Bruzzone
:
Recurrent Semantic Change Detection in VHR Remote Sensing Images Using Visual Foundation Models. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025)
[j356]Xuming Zhang
, Naoto Yokoya
, Xingfa Gu
, Qingjiu Tian
, Lorenzo Bruzzone
:
CoMiX: Cross-Modal Fusion With Deformable Convolutions for HSI-X Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025)
[j355]Hui Zhao
, Sicong Liu
, Xiaohua Tong
, Qian Du
, Lorenzo Bruzzone
, Huan Xie
, Yongjiu Feng
, Kecheng Du, Jie Zhang
, Yonggang Xiong
:
Stepwise Deep Feature Transfer Model for Martian Landform Mapping With Small Number of Labeled Samples. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025)
[j354]Yongjie Zheng
, Sicong Liu
, Lorenzo Bruzzone
:
SHIFT: Scribble-Driven Hybrid Iterative Feature Tracker for Multimodal Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025)
[i35]Lei Ding, Danfeng Hong, Maofan Zhao, Hongruixuan Chen, Chenyu Li, Jie Deng, Naoto Yokoya, Lorenzo Bruzzone, Jocelyn Chanussot:
A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges. CoRR abs/2502.02835 (2025)
[i34]Lei Ding, Xibing Zuo, Danfeng Hong, Haitao Guo, Jun Lu, Zhihui Gong, Lorenzo Bruzzone:
S2C: Learning Noise-Resistant Differences for Unsupervised Change Detection in Multimodal Remote Sensing Images. CoRR abs/2502.12604 (2025)
[i33]Hao Liu
, Yongjie Zheng, Yuhan Kang, Mingyang Zhang, Maoguo Gong, Lorenzo Bruzzone:
Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification. CoRR abs/2509.23310 (2025)
[i32]Hao Liu
, Yunhao Gao, Wei Li, Mingyang Zhang, Maoguo Gong, Lorenzo Bruzzone:
A Spatial-Spectral-Frequency Interactive Network for Multimodal Remote Sensing Classification. CoRR abs/2510.04628 (2025)
[i31]Giulio Weikmann, Gianmarco Perantoni, Lorenzo Bruzzone:
A Semantics-Aware Hierarchical Self-Supervised Approach to Classification of Remote Sensing Images. CoRR abs/2510.04916 (2025)
[i30]Gianmarco Perantoni, Lorenzo Bruzzone:
A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data. CoRR abs/2510.05760 (2025)
[i29]Gianmarco Perantoni, Lorenzo Bruzzone:
A deep multiple instance learning approach based on coarse labels for high-resolution land-cover mapping. CoRR abs/2510.06769 (2025)
[i28]Gianmarco Perantoni, Giulio Weikmann, Lorenzo Bruzzone:
Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models. CoRR abs/2510.07008 (2025)
[i27]Giulio Weikmann, Gianmarco Perantoni, Lorenzo Bruzzone:
A class-driven hierarchical ResNet for classification of multispectral remote sensing images. CoRR abs/2510.08060 (2025)
[i26]Chenying Liu, Gianmarco Perantoni, Lorenzo Bruzzone, Xiao Xiang Zhu:
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification. CoRR abs/2510.08269 (2025)
[i25]Mattia Ferrari, Lorenzo Bruzzone:
Hyperspectral data augmentation with transformer-based diffusion models. CoRR abs/2510.08363 (2025)
[i24]Mattia Ferrari, Giancarlo Papitto, Giorgio Deligios, Lorenzo Bruzzone:
Detection of Bark Beetle Attacks using Hyperspectral PRISMA Data and Few-Shot Learning. CoRR abs/2511.11096 (2025)- 2024
[j353]Antonis Troumpoukis
, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Mohanad Albughdadi
, Vasileios Baousis
, Omar Barrilero, Alexandra Bojor, Pedro Branco
, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, Michele Lazzarini, Adrian Luna, Alexandros Nousias, Christos Perentis, George Petrakis, Dharmen Punjani, David Röbl, George Stamoulis, Eleni Tsalapati
, Indre Urbanaviciute
, Giulio Weikmann
, Xenia Ziouvelou, Marcin Ziólkowski, Manolis Koubarakis
, Vangelis Karkaletsis:
European AI and EO convergence via a novel community-driven framework for data-intensive innovation. Future Gener. Comput. Syst. 160: 505-521 (2024)
[j352]Leonardo Carrer
, Davide Castelletti
, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone
:
A Method for the Characterization of the Interior of Pits From Single Spaceborne SAR Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j351]Alberto Frizzera
, Massimo Santoni
, Lorenzo Bruzzone
:
Multiobjective Optimization of Radar Acquisition Parameters in Flyby Scenarios of Planetary Missions. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j350]Khatereh Meshkini
, Francesca Bovolo
, Lorenzo Bruzzone
:
Multiannual Change Detection Using a Weakly Supervised 3-D CNN in HR SITS. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j349]Kunal Pradhan
, Swarnajyoti Patra
, Lorenzo Bruzzone
:
Extended Semantic Edge-Aware Filtering Profile for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j348]Sanchari Thakur
, Essam Heggy
, Mark S. Haynes
, Elizabeth M. Palmer
, Lorenzo Bruzzone
:
On the Potential of Orbital VHF Sounding Radars to Locate Shallow Aquifers in Arid Areas Using Reflectometry. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j347]Yuanhe Yu
, Zhouxuan Xiao
, Lorenzo Bruzzone
, Huan Deng
:
Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins. Remote. Sens. 16(2): 411 (2024)
[j346]Shijie Ren
, Feng Zhou
, Lorenzo Bruzzone
:
Transfer-Aware Graph U-Net with Cross-Level Interactions for PolSAR Image Semantic Segmentation. Remote. Sens. 16(8): 1428 (2024)
[j345]Amos Bortiew
, Swarnajyoti Patra
, Lorenzo Bruzzone:
Component adaptive sparse representation for hyperspectral image classification. Soft Comput. 28(20): 11911-11925 (2024)
[j344]Marko Barjaktarovic
, Massimo Santoni
, Lorenzo Bruzzone
:
Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6945-6957 (2024)
[j343]Luca Bergamasco
, Francesca Bovolo
, Lorenzo Bruzzone
:
Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)
[j342]Leonardo Carrer
, Elena Diana
, Lorenzo Bruzzone
:
Assessing the Morphometry of Pit Craters on Venus From Orbital Synthetic Aperture Radar Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)
[j341]Yuxing Chen
, Lorenzo Bruzzone
:
Unsupervised CD in Satellite Image Time Series by Contrastive Learning and Feature Tracking. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024)
[j340]Hao Chen
, Philipp Gläser
, Xuanyu Hu
, Konrad Willner
, Yongjie Zheng
, Friedrich Damme, Lorenzo Bruzzone
, Jürgen Oberst:
ELunarDTMNet: Efficient Reconstruction of High-Resolution Lunar DTM From Single-View Orbiter Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024)
[j339]Yuxing Chen
, Maofan Zhao
, Lorenzo Bruzzone
:
A Novel Approach to Incomplete Multimodal Learning for Remote Sensing Data Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j338]Jordy Dal Corso
, Lorenzo Bruzzone
:
An Approach to Semantic Segmentation of Radar Sounder Data Based on Unsupervised Random Walks and User-Guided Label Propagation. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024)
[j337]Nabajyoti Das
, Amos Bortiew
, Swarnajyoti Patra
, Lorenzo Bruzzone
:
Dual-Branch CNN Incorporating Multiscale SVD Profile for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024)
[j336]Lei Ding
, Jing Zhang
, Haitao Guo
, Kai Zhang
, Bing Liu
, Lorenzo Bruzzone
:
Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j335]Lei Ding
, Kun Zhu
, Daifeng Peng
, Hao Tang
, Kuiwu Yang, Lorenzo Bruzzone
:
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)
[j334]Elena Donini
, Lorenzo Bruzzone
, Francesca Bovolo
:
Super-Resolution of Radargrams With a Generative Deep Learning Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024)
[j333]Yunlong Liu, Feng Zhang, Shanxin Zhang
, Kai Zhang
, Jiande Sun
, Lorenzo Bruzzone
:
Content-Guided Spatial-Spectral Integration Network for Change Detection in HR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)
[j332]Khatereh Meshkini
, Yady Tatiana Solano Correa
, Francesca Bovolo
, Lorenzo Bruzzone
:
Multiannual Change Detection in Long and Dense Satellite Image Time Series Based on Dynamic Time Warping. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024)
[j331]Linlin Wang
, Junping Zhang
, Lorenzo Bruzzone
:
MixCDNet: A Lightweight Change Detection Network Mixing Features Across CNN and Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)
[j330]Xuming Zhang
, Naoto Yokoya
, Xingfa Gu
, Qingjiu Tian, Lorenzo Bruzzone
:
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024)
[j329]Feng Zhang, Kai Zhang
, Jiande Sun
, Jian Wang, Lorenzo Bruzzone
:
DRFormer: Learning Disentangled Representation for Pan-Sharpening via Mutual Information- Based Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)
[j328]Maofan Zhao
, Xinli Hu, Linlin Zhang
, Qingyan Meng
, Yuxing Chen
, Lorenzo Bruzzone
:
Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level Supervision. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)
[j327]Hui Zhao
, Sicong Liu
, Xiaohua Tong
, Qian Du
, Lorenzo Bruzzone
, Kecheng Du, Jie Zhang, Xuanning Lu:
MarsMapNet: A Novel Superpixel-Guided Multiview Feature Fusion Network for Efficient Martian Landform Mapping. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)
[j326]Yongjie Zheng
, Sicong Liu
, Hao Chen
, Lorenzo Bruzzone
:
Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multisource High-Resolution Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j325]Yinghui Xing
, Litao Qu
, Shizhou Zhang
, Kai Zhang
, Yanning Zhang
, Lorenzo Bruzzone
:
CrossDiff: Exploring Self-SupervisedRepresentation of Pansharpening via Cross-Predictive Diffusion Model. IEEE Trans. Image Process. 33: 5496-5509 (2024)
[c238]Sanchari Thakur
, Lorenzo Bruzzone:
Detecting Near-Surface Melt-Water and Basal Ice-Water Interfaces by VHF Radar Sounder Data. IGARSS 2024: 45-48
[c237]Gianmarco Perantoni
, Giulio Weikmann
, Lorenzo Bruzzone:
Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models. IGARSS 2024: 941-945
[c236]Daniel Carcereri, Paola Rizzoli, Luca Dell'Amore, José-Luis Bueso-Bello, Dino Ienco, Lorenzo Bruzzone:
Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data. IGARSS 2024: 2279-2284
[c235]Michele Dalponte, Riccardo Sassi, Damiano Gianelle, Lorenzo Bruzzone, Daniele Marinelli
:
Exploring the Detection of Bark Beetle Attacks in Norway Spruce Forests in Sentinel-1 Image Time Series. IGARSS 2024: 5260-5263
[c234]Abhishek Singh
, Giulio Weikmann
, Lorenzo Bruzzone:
A Spectrally Regulated Convolution-Based Network for Crop-Mapping with Hyperspectral Images. IGARSS 2024: 7888-7892
[c233]Jordy Dal Corso
, Lorenzo Bruzzone:
Radargrams as Sequences: A Method for The Semantic Segmentation of Radar Sounder Data. IGARSS 2024: 8179-8183
[c232]Yongjie Zheng, Sicong Liu, Lorenzo Bruzzone:
A Transformer-Enhanced Encoder-Decoder Network For Unsupervised Heterogeneous Remote Sensing Image Change Detection. IGARSS 2024: 8830-8834
[c231]Ludovica Maria Beati, Marco Cortellazzi
, Lorenzo Bruzzone:
Analysis of the Detectability of Lava Flow Formations on Venus by Subsurface Radar Sounding Simulations. IGARSS 2024: 10992-10996
[i23]Xuming Zhang, Naoto Yokoya
, Xingfa Gu, Qingjiu Tian, Lorenzo Bruzzone:
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation. CoRR abs/2406.17679 (2024)
[i22]Xuming Zhang, Xingfa Gu, Qingjiu Tian, Lorenzo Bruzzone:
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation. CoRR abs/2411.09023 (2024)- 2023
[j324]Yansheng Li
, Xinwei Li, Yongjun Zhang, Daifeng Peng, Lorenzo Bruzzone:
Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data. Int. J. Appl. Earth Obs. Geoinformation 120: 103345 (2023)
[j323]Amos Bortiew
, Swarnajyoti Patra
, Lorenzo Bruzzone
:
Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
[j322]Abhishek Singh
, Lorenzo Bruzzone
:
WIANet: A Wavelet-Inspired Attention-Based Convolution Neural Network for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
[j321]Lifeng Wang
, Junguo Zhang
, Liguo Wang
, Lorenzo Bruzzone
:
SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
[j320]Yongjie Zheng
, Sicong Liu
, Lorenzo Bruzzone
:
An Attention-Enhanced Feature Fusion Network (AeF2N) for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
[j319]Luca Bergamasco
, Francesca Bovolo
, Lorenzo Bruzzone
:
A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2147-2162 (2023)
[j318]Parth Naik
, Michele Dalponte
, Lorenzo Bruzzone
:
Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3442-3454 (2023)
[j317]Giulio Weikmann
, Daniele Marinelli
, Claudia Paris
, Silke Migdall
, Eva Gleisberg, Florian Appel
, Heike Bach, Jim Dowling, Lorenzo Bruzzone
:
Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6758-6775 (2023)
[j316]Daniel Carcereri
, Paola Rizzoli
, Dino Ienco
, Lorenzo Bruzzone
:
A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8334-8352 (2023)
[j315]Leonardo Carrer
, Lorenzo Bruzzone
:
Analysis of Lava Tubes' Roughness and Radar Near-Nadir Regime Backscattering Properties. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023)
[j314]Leonardo Carrer
, Davide Castelletti
, Riccardo Pozzobon, Francesco Sauro
, Lorenzo Bruzzone
:
A Novel Method for Hidden Natural Caves Characterization and Accessibility Assessment From Spaceborne VHR SAR Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023)
[j313]Renchu Guan
, Mingming Wang, Lorenzo Bruzzone
, Haishi Zhao
, Chen Yang
:
Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)
[j312]Elisa Sbalchiero, Marco Cortellazzi
, Sanchari Thakur
, Lorenzo Bruzzone
:
A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023)
[j311]Zhi Sheng, Feng Zhang, Jiande Sun
, Yanyan Tan, Kai Zhang
, Lorenzo Bruzzone
:
A Unified Two-Stage Spatial and Spectral Network With Few-Shot Learning for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023)
[j310]Xuming Zhang
, Yuanchao Su
, Lianru Gao
, Lorenzo Bruzzone
, Xingfa Gu, Qingjiu Tian:
A Lightweight Transformer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023)
[j309]Kai Zhang
, Anfei Wang, Feng Zhang, Wenbo Wan
, Jiande Sun
, Lorenzo Bruzzone
:
Spatial-Spectral Dual Back-Projection Network for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023)
[j308]Kai Zhang
, Xue Zhao, Feng Zhang, Lei Ding
, Jiande Sun
, Lorenzo Bruzzone
:
Relation Changes Matter: Cross-Temporal Difference Transformer for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
[j307]Maofan Zhao
, Qingyan Meng
, Linlin Zhang
, Xinli Hu, Lorenzo Bruzzone
:
Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
[j306]Wenxiu Diao
, Feng Zhang, Jiande Sun
, Yinghui Xing
, Kai Zhang
, Lorenzo Bruzzone
:
ZeRGAN: Zero-Reference GAN for Fusion of Multispectral and Panchromatic Images. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8195-8209 (2023)
[c230]Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati
, Mohanad Albughdadi
, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco
, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, David Hassan, Michele Lazzarini, Adrian Luna, Dharmen Punjani, George Stamoulis, Giulio Weikmann
, Marcin Ziólkowski, Xenia Ziouvelou, Manolis Koubarakis
, Vangelis Karkaletsis:
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. BigDataService 2023: 9-16
[c229]Florian Appel, Heike Bach, Silke Migdall, Manolis Koubarakis
, George Stamoulis, Dimitris Bilidas, Despina-Athanasia Pantazi, Lorenzo Bruzzone, Claudia Paris
, Giulio Weikmann
:
ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning. EDBT 2023: 749-756
[c228]Leonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro
, Lorenzo Bruzzone:
Advances in The Characterization of Caves From Spaceborne X-Band VHR Sar Images. IGARSS 2023: 1380-1383
[c227]Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone:
Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data. IGARSS 2023: 1481-1484
[c226]Yuxing Chen
, Lorenzo Bruzzone:
Toward Open-World Semantic Segmentation of Remote Sensing Images. IGARSS 2023: 5045-5048
[c225]Abhishek Singh
, Lorenzo Bruzzone:
Refining Land-Cover Weak Labels Using a Discrete Wavelet Transform Inspired Deep Adversarial Model. IGARSS 2023: 5387-5390
[c224]Jing Zhang, Lei Ding, Lorenzo Bruzzone:
Bi-Directional Temporal Modelling for Semantic Change Detection in Remote Sensing Images. IGARSS 2023: 5503-5506
[c223]Elena Donini
, Alessandro Zuech, Lorenzo Bruzzone, Francesca Bovolo:
Deep Learning for Unsupervised Denoising of Radar Sounder Data. IGARSS 2023: 7804-7807
[c222]Khatereh Meshkini
, Francesca Bovolo, Lorenzo Bruzzone:
A Multi-Feature Hyper-Temporal Change Vector Analysis Method for Change Detection in Multi-Annual Time Series of HR Satellite Images. IGARSS 2023: 8315-8318
[i21]Yuxing Chen, Lorenzo Bruzzone:
Unsupervised CD in satellite image time series by contrastive learning and feature tracking. CoRR abs/2304.11375 (2023)
[i20]Yuxing Chen, Maofan Zhao, Lorenzo Bruzzone:
Incomplete Multimodal Learning for Remote Sensing Data Fusion. CoRR abs/2304.11381 (2023)
[i19]Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone:
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images. CoRR abs/2309.01429 (2023)
[i18]Houcai Guo, Dingqi Ye, Lorenzo Bruzzone:
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images. CoRR abs/2310.09517 (2023)- 2022
[j305]Lei Ding
, Kai Zheng
, Dong Lin, Yuxing Chen
, Bing Liu
, Jiansheng Li, Lorenzo Bruzzone
:
MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j304]Daniele Marinelli
, Nicholas C. Coops
, Douglas K. Bolton, Lorenzo Bruzzone
:
Forest Change Detection in Lidar Data Based on Polar Change Vector Analysis. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j303]Daniele Marinelli
, Claudia Paris
, Lorenzo Bruzzone
:
A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j302]Daniele Marinelli
, Claudia Paris
, Lorenzo Bruzzone
:
An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j301]Qingyan Meng, Maofan Zhao
, Linlin Zhang, Wenxu Shi
, Chen Su
, Lorenzo Bruzzone
:
Multilayer Feature Fusion Network With Spatial Attention and Gated Mechanism for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j300]Claudia Paris
, Luca Orlandi
, Lorenzo Bruzzone
:
An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing Platform. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j299]Haohao Ren
, Xuelian Yu
, Lorenzo Bruzzone
, Yukun Zhang
, Lin Zou
, Xuegang Wang
:
A Bayesian Approach to Active Self-Paced Deep Learning for SAR Automatic Target Recognition. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j298]Sudipan Saha
, Francesca Bovolo
, Lorenzo Bruzzone
:
Change Detection in Image Time-Series Using Unsupervised LSTM. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j297]Abhishek Singh
, Lorenzo Bruzzone
:
SIGAN: Spectral Index Generative Adversarial Network for Data Augmentation in Multispectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j296]Abhishek Singh
, Lorenzo Bruzzone
:
Mono- and Dual-Regulated Contractive-Expansive-Contractive Deep Convolutional Networks for Classification of Multispectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j295]Sanchari Thakur
, Leonardo Carrer
, Lorenzo Bruzzone
:
Analysis of Earth's Ionosphere Effects on Englacial Layering Detectability in Spaceborne Radar Sounders Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j294]Wei Yao
, Cheng Lian
, Lorenzo Bruzzone
:
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification. Remote. Sens. 14(19): 4982 (2022)
[j293]Sicong Liu
, Francesca Bovolo
, Lorenzo Bruzzone
, Xiaohua Tong
, Qian Du
:
Editorial Foreword to the Special Issue on Recent Advances in Multitemporal Remote-Sensing Data Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 776-778 (2022)
[j292]Aravind Harikumar
, Xinlian Liang
, Francesca Bovolo
, Lorenzo Bruzzone
:
Void-Volume-Based Stem Geometric Modeling and Branch-Knot Localization in Terrestrial Laser Scanning Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3024-3040 (2022)
[j291]Yady Tatiana Solano Correa
, Khatereh Meshkini
, Francesca Bovolo
, Lorenzo Bruzzone
:
Automatic Large-Scale Precise Mapping and Monitoring of Agricultural Fields at Country Level With Sentinel-2 SITS. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3131-3145 (2022)
[j290]Parth Naik
, Michele Dalponte
, Lorenzo Bruzzone
:
Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4755-4771 (2022)
[j289]Claudia Paris
, Luca Gasparella, Lorenzo Bruzzone
:
A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9146-9159 (2022)
[j288]Kai Zhang
, Anfei Wang, Feng Zhang, Wenxiu Diao
, Jiande Sun
, Lorenzo Bruzzone
:
Spatial and Spectral Extraction Network With Adaptive Feature Fusion for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j287]Luca Bergamasco
, Sudipan Saha
, Francesca Bovolo
, Lorenzo Bruzzone
:
Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution Features. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022)
[j286]Leonardo Carrer
, Lorenzo Bruzzone
:
A Novel Approach to the Detection and Imaging of Candidate Martian Subglacial Water Bodies by Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
[j285]Leonardo Carrer
, Sanchari Thakur
, Luca Sericati, Lorenzo Bruzzone
:
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022)
[j284]Yuxing Chen
, Lorenzo Bruzzone
:
Self-Supervised Change Detection in Multiview Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022)
[j283]Yuxing Chen
, Lorenzo Bruzzone
:
Self-Supervised SAR-Optical Data Fusion of Sentinel-1/-2 Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022)
[j282]Yuxing Chen
, Lorenzo Bruzzone
:
A Self-Supervised Approach to Pixel-Level Change Detection in Bi-Temporal RS Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022)
[j281]Lei Ding
, Haitao Guo, Sicong Liu
, Lichao Mou
, Jing Zhang
, Lorenzo Bruzzone
:
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j280]Lei Ding
, Dong Lin, Shaofu Lin
, Jing Zhang
, Xiaojie Cui, Yuebin Wang
, Hao Tang
, Lorenzo Bruzzone
:
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022)
[j279]Elena Donini
, Francesca Bovolo
, Lorenzo Bruzzone
:
A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j278]Elena Donini
, Leonardo Carrer
, Christopher Gerekos
, Lorenzo Bruzzone
, Francesca Bovolo
:
An Unsupervised Fuzzy System for the Automatic Detection of Candidate Lava Tubes in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022)
[j277]Jianming Hu
, Xiyang Zhi, Shikai Jiang
, Hao Tang
, Wei Zhang, Lorenzo Bruzzone
:
Supervised Multi-Scale Attention-Guided Ship Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j276]Sicong Liu
, Hui Zhao
, Qian Du
, Lorenzo Bruzzone
, Alim Samat
, Xiaohua Tong
:
Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j275]Sicong Liu
, Yongjie Zheng
, Qian Du
, Lorenzo Bruzzone
, Alim Samat
, Xiaohua Tong
, Yanmin Jin, Chao Wang
:
A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022)
[j274]Lichao Mou
, Yuansheng Hua, Sudipan Saha
, Francesca Bovolo
, Lorenzo Bruzzone
, Xiao Xiang Zhu
:
Detecting Changes by Learning No Changes: Data-Enclosing-Ball Minimizing Autoencoders for One-Class Change Detection in Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
[j273]Lichao Mou
, Sudipan Saha
, Yuansheng Hua
, Francesca Bovolo
, Lorenzo Bruzzone
, Xiao Xiang Zhu
:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j272]Daifeng Peng
, Haiyan Guan
, Yufu Zang
, Lorenzo Bruzzone
:
Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)
[j271]Gianmarco Perantoni
, Lorenzo Bruzzone
:
A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
[j270]Longfei Ren
, Zheng Ma
, Francesca Bovolo
, Lorenzo Bruzzone
:
A Nonconvex Framework for Sparse Unmixing Incorporating the Group Structure of the Spectral Library. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022)
[j269]Thomas Maximillian Roberts
, Andrew Romero-Wolf
, Lorenzo Bruzzone
, Leonardo Carrer
, Sean T. Peters
, Dustin M. Schroeder
:
Conditioning Jovian Burst Signals for Passive Sounding Applications. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j268]Elisa Sbalchiero, Sanchari Thakur
, Lorenzo Bruzzone
:
A Range-Doppler Method for Focusing Radar Sounder Data Generated by Coherent Electromagnetic Simulators. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022)
[j267]Sanchari Thakur
, Elena Donini
, Francesca Bovolo
, Lorenzo Bruzzone
:
An Approach to the Assessment of Detectability of Subsurface Targets in Polar Ice From Satellite Radar Sounders. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022)
[j266]Liguo Wang
, Lifeng Wang, Qunming Wang
, Lorenzo Bruzzone
:
RSCNet: A Residual Self-Calibrated Network for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)
[j265]Lifeng Wang, Liguo Wang
, Heng Wang
, Xiaoyi Wang, Lorenzo Bruzzone
:
SPCNet: A Subpixel Convolution-Based Change Detection Network for Hyperspectral Images With Different Spatial Resolutions. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j264]Dingqi Ye
, Jian Peng
, Haifeng Li
, Lorenzo Bruzzone
:
Better Memorization, Better Recall: A Lifelong Learning Framework for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j263]Massimo Zanetti
, Sudipan Saha
, Daniele Marinelli
, Maria Lucia Magliozzi
, Massimo Zavagli, Mario Costantini, Francesca Bovolo
, Lorenzo Bruzzone
:
A System for Burned Area Detection on Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
[j262]Hui Zhao
, Sicong Liu
, Qian Du
, Lorenzo Bruzzone
, Yongjie Zheng
, Kecheng Du, Xiaohua Tong
, Huan Xie
, Xiaolong Ma:
GCFnet: Global Collaborative Fusion Network for Multispectral and Panchromatic Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j261]Haishi Zhao
, Fengfeng Zhou, Lorenzo Bruzzone
, Renchu Guan
, Chen Yang
:
Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
[j260]Lei Ding
, Hao Tang
, Yahui Liu
, Yilei Shi, Xiao Xiang Zhu
, Lorenzo Bruzzone
:
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images. IEEE Trans. Image Process. 31: 678-690 (2022)
[c221]Sergio Povoli
, Mauro di Donna, Flavia Macina, Corrado Avolio, Massimo Zavagli, Mario Costantini, Lorenzo Bruzzone:
A Deep Learning Approach to Ship Detection and Characterization from Multiresolution Satellite SAR Images. IGARSS 2022: 643-646
[c220]Abhishek Singh
, Lorenzo Bruzzone:
Data Augmentation Through Spectrally Controlled Adversarial Networks for Classification of Multispectral Remote Sensing Images. IGARSS 2022: 651-654
[c219]Lifeng Wang, Liguo Wang, Lorenzo Bruzzone:
A Sub-Pixel Convolution-Based Residual Network for Hyperspectral Image Change Detection. IGARSS 2022: 1059-1062
[c218]Leonardo Carrer, Sanchari Thakur
, Lorenzo Bruzzone:
Clutter Discrimination by Estimation of Direction of Arrival in Spaceborne Distributed Radar Sounders. IGARSS 2022: 1324-1327
[c217]Sanchari Thakur
, Elisa Nicolussi Paolaz, Elisa Sbalchiero, Lorenzo Bruzzone:
Analysis of Surface Clutter for Subsurface Radar Sounding on Venus. IGARSS 2022: 1340-1343
[c216]Leonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro
, Lorenzo Bruzzone:
Subsurface Cavities Characterization from X-Band VHR Spaceborne SAR Images. IGARSS 2022: 1468-1471
[c215]Elena Donini
, Amar Kasibovic, Miguel Hoyo García, Lorenzo Bruzzone, Francesca Bovolo:
An Unsupervised Deep Learning Method for the Super-Resolution of Radar Sounder Data. IGARSS 2022: 1696-1699
[c214]Sanid Chirakkal, Francesca Bovolo, Arundhati Misra, Lorenzo Bruzzone, Avik Bhattacharya
:
Unsupervised Multiclass Change Detection for Multimodal Remote Sensing Data. IGARSS 2022: 3223-3226
[c213]Yuxing Chen, Lorenzo Bruzzone:
AN Approach Based on Contrastive Learning and Vector Quantization to the Unsupervised Land-Cover Segmentation of Multimodal Images. IGARSS 2022: 4811-4814
[c212]Jian Peng, Dingqi Ye, Lorenzo Bruzzone:
Asymmetric Collaborative Network: Transferable Lifelong Learning for Remote Sensing Images. IGARSS 2022: 5057-5060
[c211]Daniel Carcereri, Paola Rizzoli, Dino Ienco, José-Luis Bueso-Bello, Carolina González, Stefano Puliti, Lorenzo Bruzzone:
Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data. IGARSS 2022: 5773-5776
[c210]Elisa Sbalchiero, Sanchari Thakur
, Lorenzo Bruzzone:
A Method for Focusing Raw Simulated Radar Sounder Data. IGARSS 2022: 8004-8007
[i17]Lei Ding, Jing Zhang
, Kai Zhang, Haitao Guo, Bing Liu, Lorenzo Bruzzone:
Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images. CoRR abs/2212.05245 (2022)- 2021
[j259]Daifeng Peng, Lorenzo Bruzzone, Yongjun Zhang
, Haiyan Guan, Pengfei He:
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 103: 102465 (2021)
[j258]Sudipan Saha
, Lichao Mou
, Xiao Xiang Zhu
, Francesca Bovolo
, Lorenzo Bruzzone
:
Semisupervised Change Detection Using Graph Convolutional Network. IEEE Geosci. Remote. Sens. Lett. 18(4): 607-611 (2021)
[j257]Sudipan Saha
, Yady Tatiana Solano Correa
, Francesca Bovolo
, Lorenzo Bruzzone
:
Unsupervised Deep Transfer Learning-Based Change Detection for HR Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 18(5): 856-860 (2021)
[j256]Wei Yao
, Cheng Lian
, Lorenzo Bruzzone
:
ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(11): 1991-1995 (2021)
[j255]Parth Naik
, Michele Dalponte
, Lorenzo Bruzzone
:
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data. Remote. Sens. 13(7): 1282 (2021)
[j254]Milad Niroumand Jadidi
, Francesca Bovolo
, Lorenzo Bruzzone
, Peter Gege
:
Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes. Remote. Sens. 13(12): 2381 (2021)
[j253]Haohao Ren
, Xuelian Yu, Lin Zou, Yun Zhou, Xuegang Wang, Lorenzo Bruzzone
:
Extended convolutional capsule network with application on SAR automatic target recognition. Signal Process. 183: 108021 (2021)
[j252]Giulio Weikmann
, Claudia Paris
, Lorenzo Bruzzone
:
TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4699-4708 (2021)
[j251]Desta Haileselassie Hagos
, Theofilos Kakantousis, Vladimir Vlassov
, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris
, Daniele Marinelli
, Giulio Weikmann
, Lorenzo Bruzzone, Salman Khaleghian
, Thomas Krämer, Torbjørn Eltoft
, Andrea Marinoni
, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis
, Georgios M. Mandilaras, Manolis Koubarakis
, Antonis Troumpoukis, Stasinos Konstantopoulos
, Markus Muerth, Florian Appel
, Andrew Fleming, Andreas Cziferszky:
ExtremeEarth Meets Satellite Data From Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9038-9063 (2021)
[j250]Valentina Premier
, Carlo Marin
, Stefan Steger
, Claudia Notarnicola
, Lorenzo Bruzzone:
A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9223-9240 (2021)
[j249]Rocco Sedona
, Claudia Paris
, Gabriele Cavallaro
, Lorenzo Bruzzone
, Morris Riedel
:
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10134-10146 (2021)
[j248]Sanid Chirakkal
, Francesca Bovolo
, Arundhati Ray Misra, Lorenzo Bruzzone
, Avik Bhattacharya
:
A General Framework for Change Detection Using Multimodal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10665-10680 (2021)
[j247]Lei Ding
, Hao Tang
, Lorenzo Bruzzone
:
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(1): 426-435 (2021)
[j246]Sudipan Saha
, Francesca Bovolo
, Lorenzo Bruzzone
:
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding. IEEE Trans. Geosci. Remote. Sens. 59(3): 1917-1929 (2021)
[j245]Claudia Paris
, Lorenzo Bruzzone
:
A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products. IEEE Trans. Geosci. Remote. Sens. 59(3): 1930-1948 (2021)
[j244]Leonardo Carrer
, Federico Zancanella, Lorenzo Bruzzone
:
Mars Surface Imaging by Exploiting Off-Nadir Radar Sounding Data. IEEE Trans. Geosci. Remote. Sens. 59(4): 2951-2961 (2021)
[j243]Akshara Preethy Byju
, Gencer Sumbul
, Begüm Demir
, Lorenzo Bruzzone
:
Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain. IEEE Trans. Geosci. Remote. Sens. 59(4): 3458-3472 (2021)
[j242]Leonardo Carrer
, Dustin M. Schroeder
, Andrew Romero-Wolf
, Paul A. Ries
, Lorenzo Bruzzone
:
Analysis of Temporal and Structural Characteristics of Jovian Radio Emissions for Passive Radar Sounding of Jupiter's Icy Moons. IEEE Trans. Geosci. Remote. Sens. 59(5): 3857-3874 (2021)
[j241]Francescopaolo Sica
, Giorgia Gobbi
, Paola Rizzoli
, Lorenzo Bruzzone
:
Φ-Net: Deep Residual Learning for InSAR Parameters Estimation. IEEE Trans. Geosci. Remote. Sens. 59(5): 3917-3941 (2021)
[j240]Aravind Harikumar
, Claudia Paris
, Francesca Bovolo
, Lorenzo Bruzzone
:
A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data. IEEE Trans. Geosci. Remote. Sens. 59(5): 4444-4453 (2021)
[j239]Yuxing Chen
, Lorenzo Bruzzone
, Liming Jiang
, Qishi Sun:
ARU-Net: Reduction of Atmospheric Phase Screen in SAR Interferometry Using Attention-Based Deep Residual U-Net. IEEE Trans. Geosci. Remote. Sens. 59(7): 5780-5793 (2021)
[j238]Daifeng Peng
, Lorenzo Bruzzone
, Yongjun Zhang
, Haiyan Guan
, Haiyong Ding, Xu Huang
:
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(7): 5891-5906 (2021)
[j237]Swalpa Kumar Roy
, Suvojit Manna, Tiecheng Song
, Lorenzo Bruzzone
:
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(9): 7831-7843 (2021)
[j236]Sanchari Thakur
, Lorenzo Bruzzone
:
An Approach to the Generation and Analysis of Databases of Simulated Radar Sounder Data for Performance Prediction and Target Interpretation. IEEE Trans. Geosci. Remote. Sens. 59(10): 8269-8287 (2021)
[j235]Haishi Zhao
, Lorenzo Bruzzone
, Renchu Guan
, Fengfeng Zhou, Chen Yang
:
Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(11): 9616-9632 (2021)
[j234]Lei Ding
, Lorenzo Bruzzone
:
DiResNet: Direction-Aware Residual Network for Road Extraction in VHR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10243-10254 (2021)
[c209]Iwona Podsiadlo, Claudia Paris
, Lorenzo Bruzzone:
An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale. IGARSS 2021: 313-316
[c208]Sivaprasad Gogineni, Stephen Yan, Paul Song, John L. Volakis
, D. Deshpande, Ivan Galkin, Jason M. Soderblom, Alexander Gerard Hayes, Bodo Reinisch, Robert H. Giles, Rohan Sood
, Hua-Liang Zhang, David Braaten, Lorenzo Bruzzone, Satheesh Bojja Venkatakrishnan, R. Taylor:
UWB MIMO Radars for Sounding and Imaging of Ice on the Earth and Other Celestial Bodies. IGARSS 2021: 657-660
[c207]Lorenzo Bruzzone, Francesca Bovolo, Leonardo Carrer, Elena Donini
, Sanchari Thakur
:
STRATUS: A new mission concept for monitoring the subsurface of polar and arid regions. IGARSS 2021: 661-664
[c206]Yuanxin Ye
, Bai Zhu, Liang Zhou, Lorenzo Bruzzone:
A Fast and Robust Matching System for Multimodal Remote Sensing Image Registration. IGARSS 2021: 1249-1251
[c205]Elena Donini
, Francesca Bovolo, Lorenzo Bruzzone:
An Unsupervised Deep Learning Method for Subsurface Target Detection in Radar Sounder Data. IGARSS 2021: 2955-2958
[c204]Parth Naik
, Michele Dalponte, Lorenzo Bruzzone:
A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data. IGARSS 2021: 2991-2994
[c203]Yuxing Chen, Lorenzo Bruzzone:
Self-Supervised Change Detection by Fusing SAR and Optical Multi-Temporal Images. IGARSS 2021: 3101-3104
[c202]Luca Bergamasco
, Luca Martinatti, Francesca Bovolo, Lorenzo Bruzzone:
An Unsupervised Change Detection Technique Based on a Super-Resolution Convolutional Autoencoder. IGARSS 2021: 3337-3340
[c201]Khatereh Meshkini
, Francesca Bovolo, Lorenzo Bruzzone:
An Unsupervised Change Detection Approach for Dense Satellite Image Time Series Using 3D CNN. IGARSS 2021: 4336-4339
[c200]Valentina Premier
, Carlo Marin, Claudia Notarnicola
, Lorenzo Bruzzone:
A Multisource Statistical Method to Downscale Snow Cover Fraction in Mountain Regions. IGARSS 2021: 5481-5484
[i16]Lei Ding
, Hao Tang, Yahui Liu, Yilei Shi, Lorenzo Bruzzone:
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images. CoRR abs/2102.11262 (2021)
[i15]Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. CoRR abs/2103.08741 (2021)
[i14]Yuanxin Ye, Jie Shan, Lorenzo Bruzzone, Li Shen:
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity. CoRR abs/2103.16871 (2021)
[i13]Devis Tuia, Claudio Persello, Lorenzo Bruzzone:
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data. CoRR abs/2104.07778 (2021)
[i12]Lei Ding
, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang, Lorenzo Bruzzone:
Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images. CoRR abs/2106.15754 (2021)
[i11]Lei Ding
, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone:
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. CoRR abs/2108.06103 (2021)- 2020
[j233]Davide Pirrone, Shaunak De
, Avik Bhattacharya
, Lorenzo Bruzzone
, Francesca Bovolo
:
An Unsupervised Approach to Change Detection in Built-Up Areas by Multitemporal PolSAR Images. IEEE Geosci. Remote. Sens. Lett. 17(11): 1914-1918 (2020)
[j232]Jing Zhang
, Shaofu Lin, Lei Ding
, Lorenzo Bruzzone
:
Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images. Remote. Sens. 12(4): 701 (2020)
[j231]Milad Niroumand Jadidi
, Francesca Bovolo, Lorenzo Bruzzone
, Peter Gege
:
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon. Remote. Sens. 12(15): 2381 (2020)
[j230]Jianming Hu
, Xiyang Zhi
, Wei Zhang, Longfei Ren, Lorenzo Bruzzone
:
Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images. Remote. Sens. 12(20): 3370 (2020)
[j229]Milad Niroumand Jadidi
, Francesca Bovolo, Lorenzo Bruzzone
:
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2. Remote. Sens. 12(23): 3984 (2020)
[j228]Yulei Tan
, Laijun Lu, Lorenzo Bruzzone
, Renchu Guan
, Zhiyong Chang, Chen Yang
:
Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 471-486 (2020)
[j227]Mehdi Darvishi
, Giovanni Cuozzo
, Lorenzo Bruzzone, Faramarz Nilfouroushan
:
Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1332-1346 (2020)
[j226]Arundhati Das
, Kaushal Bhardwaj
, Swarnajyoti Patra
, Lorenzo Bruzzone
:
A Novel Threshold Detection Technique for the Automatic Construction of Attribute Profiles in Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1374-1384 (2020)
[j225]Mehdi Darvishi
, Giovanni Cuozzo
, Lorenzo Bruzzone, Faramarz Nilfouroushan
:
Errata to "Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps". IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1728 (2020)
[j224]Stefano Paterna
, Massimo Santoni
, Lorenzo Bruzzone
:
An Approach Based on Multiobjective Genetic Algorithms to Schedule Observations in Planetary Remote Sensing Missions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4714-4727 (2020)
[j223]Davide Pirrone
, Francesca Bovolo
, Lorenzo Bruzzone
:
An Approach to Unsupervised Detection of Fully and Partially Destroyed Buildings in Multitemporal VHR SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5938-5953 (2020)
[j222]Iwona Podsiadlo
, Claudia Paris
, Mattia Callegari
, Carlo Marin
, Daniel Günther
, Ulrich Strasser
, Claudia Notarnicola
, Lorenzo Bruzzone
:
Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6177-6194 (2020)
[j221]Yao Qin
, Lorenzo Bruzzone
, Biao Li:
Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances. IEEE Trans. Geosci. Remote. Sens. 58(1): 473-485 (2020)
[j220]Yady Tatiana Solano Correa
, Francesca Bovolo
, Lorenzo Bruzzone
, Diego Fernández-Prieto:
A Method for the Analysis of Small Crop Fields in Sentinel-2 Dense Time Series. IEEE Trans. Geosci. Remote. Sens. 58(3): 2150-2164 (2020)
[j219]Christopher Gerekos
, Lorenzo Bruzzone
, Masafumi Imai
:
A Coherent Method for Simulating Active and Passive Radar Sounding of the Jovian Icy Moons. IEEE Trans. Geosci. Remote. Sens. 58(4): 2250-2265 (2020)
[j218]Alessandro Maffei, Juan Mario Haut
, Mercedes Eugenia Paoletti
, Javier Plaza
, Lorenzo Bruzzone
, Antonio Plaza
:
A Single Model CNN for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 58(4): 2516-2529 (2020)
[j217]Davide Pirrone
, Francesca Bovolo
, Lorenzo Bruzzone
:
A Novel Framework Based on Polarimetric Change Vectors for Unsupervised Multiclass Change Detection in Dual-Pol Intensity SAR Images. IEEE Trans. Geosci. Remote. Sens. 58(7): 4780-4795 (2020)
[j216]Lei Ding
, Jing Zhang
, Lorenzo Bruzzone
:
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture. IEEE Trans. Geosci. Remote. Sens. 58(8): 5367-5376 (2020)
[j215]Milad Niroumand Jadidi
, Massimo Santoni
, Lorenzo Bruzzone
, Francesca Bovolo
:
Snow Cover Estimation Underneath the Clouds Based on Multitemporal Correlation Analysis in Historical Time-Series Imagery. IEEE Trans. Geosci. Remote. Sens. 58(8): 5703-5714 (2020)
[j214]Akshara Preethy Byju
, Begüm Demir
, Lorenzo Bruzzone
:
A Progressive Content-Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives. IEEE Trans. Geosci. Remote. Sens. 58(8): 5739-5751 (2020)
[j213]Sudipan Saha
, Lichao Mou
, Chunping Qiu, Xiao Xiang Zhu
, Francesca Bovolo
, Lorenzo Bruzzone
:
Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images. IEEE Trans. Geosci. Remote. Sens. 58(12): 8780-8792 (2020)
[c199]Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone:
A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning. IGARSS 2020: 688-691
[c198]Yady Tatiana Solano Correa
, Daniel Carcereri, Francesca Bovolo, Lorenzo Bruzzone:
Large-Scale Precise Mapping of Agricultural Fields in Sentinel-2 Satellite Image Time Series. IGARSS 2020: 2288-2291
[c197]Lorenzo Bruzzone, Francesca Bovolo, Sanchari Thakur
, Leonardo Carrer, Elena Donini
, Christopher Gerekos
, Stefano Paterna
, Massimo Santoni, Elisa Sbalchiero:
Envision Mission to Venus: Subsurface Radar Sounding. IGARSS 2020: 5960-5963
[c196]Stefano Paterna
, Massimo Santoni, Lorenzo Bruzzone:
An Automatic Planning and Scheduling Method Based on Multi-Objective Genetic Algorithms for Planetary Radar Sounder Observations. IGARSS 2020: 5967-5970
[c195]Antonis Troumpoukis, Stasinos Konstantopoulos, Giannis Mouchakis, Nefeli Prokopaki-Kostopoulou, Claudia Paris, Lorenzo Bruzzone, Despina-Athanasia Pantazi, Manolis Koubarakis:
GeoFedBench: A Benchmark for Federated GeoSPARQL Query Processors. ISWC (Demos/Industry) 2020: 228-232
[i10]Lei Ding, Lorenzo Bruzzone:
DiResNet: Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images. CoRR abs/2005.07232 (2020)
[i9]Akshara Preethy Byju, Gencer Sumbul, Begüm Demir, Lorenzo Bruzzone:
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain. CoRR abs/2006.11529 (2020)
[i8]Lei Ding, Kai Zheng, Dong Lin, Yuxing Chen, Bing Liu, Jiansheng Li, Lorenzo Bruzzone:
MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images. CoRR abs/2011.05088 (2020)
2010 – 2019
- 2019
[j212]Thomas Reato, Begüm Demir
, Lorenzo Bruzzone
:
An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval. IEEE Geosci. Remote. Sens. Lett. 16(2): 276-280 (2019)
[j211]Yady Tatiana Solano Correa
, Francesca Bovolo
, Lorenzo Bruzzone
:
An Approach to Multiple Change Detection in VHR Optical Images Based on Iterative Clustering and Adaptive Thresholding. IEEE Geosci. Remote. Sens. Lett. 16(8): 1334-1338 (2019)
[j210]Daniele Marinelli
, Claudia Paris
, Lorenzo Bruzzone
:
An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 16(11): 1771-1775 (2019)
[j209]Stefano Perna
, Giovanni Alberti, Paolo Berardino, Lorenzo Bruzzone
, Dario Califano, Ilaria Catapano
, Luca Ciofaniello, Elena Donini
, Carmen Esposito
, Claudia Facchinetti
, Roberto Formaro, Gianluca Gennarelli
, Christopher Gerekos
, Riccardo Lanari
, Francesco Longo, Giovanni Ludeno
, Mauro Mariotti d'Alessandro
, Antonio Natale, Carlo Noviello
, Gianfranco Palmese, Claudio Papa, Giulia Pica, Fabio Rocca
, Giuseppe Salzillo, Francesco Soldovieri
, Stefano Tebaldini
, Sanchari Thakur
:
The ASI Integrated Sounder-SAR System Operating in the UHF-VHF Bands: First Results of the 2018 Helicopter-Borne Morocco Desert Campaign. Remote. Sens. 11(16): 1845 (2019)
[j208]Ludovica De Gregorio
, Daniel Günther, Mattia Callegari
, Ulrich Strasser
, Marc Zebisch
, Lorenzo Bruzzone
, Claudia Notarnicola
:
Improving SWE Estimation by Fusion of Snow Models with Topographic and Remotely Sensed Data. Remote. Sens. 11(17): 2033 (2019)
[j207]Ludovica De Gregorio
, Mattia Callegari
, Carlo Marin
, Marc Zebisch
, Lorenzo Bruzzone, Begüm Demir
, Ulrich Strasser
, Thomas Marke, Daniel Günther
, Rudi Nadalet, Claudia Notarnicola
:
A Novel Data Fusion Technique for Snow Cover Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2862-2877 (2019)
[j206]Sicong Liu
, Qian Du
, Xiaohua Tong
, Alim Samat
, Lorenzo Bruzzone
:
Unsupervised Change Detection in Multispectral Remote Sensing Images via Spectral-Spatial Band Expansion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3578-3587 (2019)
[j205]Claudia Paris
, Lorenzo Bruzzone
:
A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 57(1): 76-92 (2019)
[j204]Lichao Mou, Lorenzo Bruzzone
, Xiao Xiang Zhu
:
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57(2): 924-935 (2019)
[j203]Aravind Harikumar
, Francesca Bovolo
, Lorenzo Bruzzone
:
A Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 57(2): 1168-1182 (2019)
[j202]Claudia Paris
, José M. Bioucas-Dias
, Lorenzo Bruzzone
:
A Novel Sharpening Approach for Superresolving Multiresolution Optical Images. IEEE Trans. Geosci. Remote. Sens. 57(3): 1545-1560 (2019)
[j201]Ana-Maria Ilisei
, Mahdi Khodadadzadeh
, Adamo Ferro
, Lorenzo Bruzzone
:
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 57(6): 3252-3270 (2019)
[j200]Sudipan Saha
, Francesca Bovolo
, Lorenzo Bruzzone
:
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images. IEEE Trans. Geosci. Remote. Sens. 57(6): 3677-3693 (2019)
[j199]Yao Qin
, Lorenzo Bruzzone
, Biao Li, Yuanxin Ye
:
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(6): 3952-3966 (2019)
[j198]Claudia Paris
, Lorenzo Bruzzone
, Diego Fernández-Prieto:
A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 57(7): 4259-4277 (2019)
[j197]Daniele Marinelli
, Francesca Bovolo
, Lorenzo Bruzzone
:
A Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors. IEEE Trans. Geosci. Remote. Sens. 57(7): 4913-4928 (2019)
[j196]Sanchari Thakur
, Lorenzo Bruzzone
:
An Approach to the Simulation of Radar Sounder Radargrams Based on Geological Analogs. IEEE Trans. Geosci. Remote. Sens. 57(8): 5266-5284 (2019)
[j195]Yao Qin
, Lorenzo Bruzzone
, Chengqiang Gao, Biao Li:
Infrared Small Target Detection Based on Facet Kernel and Random Walker. IEEE Trans. Geosci. Remote. Sens. 57(9): 7104-7118 (2019)
[j194]Yady Tatiana Solano Correa
, Francesca Bovolo
, Lorenzo Bruzzone
:
Generation of Homogeneous VHR Time Series by Nonparametric Regression of Multisensor Bitemporal Images. IEEE Trans. Geosci. Remote. Sens. 57(10): 7579-7593 (2019)
[j193]Kaushal Bhardwaj
, Swarnajyoti Patra
, Lorenzo Bruzzone
:
Threshold-Free Attribute Profile for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57(10): 7731-7742 (2019)
[j192]Yuanxin Ye
, Lorenzo Bruzzone
, Jie Shan
, Francesca Bovolo
, Qing Zhu:
Fast and Robust Matching for Multimodal Remote Sensing Image Registration. IEEE Trans. Geosci. Remote. Sens. 57(11): 9059-9070 (2019)
[j191]Yao Qin
, Lorenzo Bruzzone
, Biao Li:
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(11): 9290-9307 (2019)
[j190]Leonardo Carrer
, Christopher Gerekos
, Francesca Bovolo
, Lorenzo Bruzzone
:
Distributed Radar Sounder: A Novel Concept for Subsurface Investigations Using Sensors in Formation Flight. IEEE Trans. Geosci. Remote. Sens. 57(12): 9791-9809 (2019)
[j189]Milad Niroumand Jadidi
, Francesca Bovolo
, Lorenzo Bruzzone
:
Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI, and OLCI Sensors. IEEE Trans. Geosci. Remote. Sens. 57(12): 10285-10300 (2019)
[j188]Pedro G. Bascoy
, Pablo Quesada-Barriuso
, Dora B. Heras, Francisco Argüello, Begüm Demir, Lorenzo Bruzzone:
Extended attribute profiles on GPU applied to hyperspectral image classification. J. Supercomput. 75(3): 1565-1579 (2019)
[j187]Silvia Demetri, Gian Pietro Picco
, Lorenzo Bruzzone:
LaPS: LiDAR-assisted Placement of Wireless Sensor Networks in Forests. ACM Trans. Sens. Networks 15(2): 17:1-17:40 (2019)
[c194]Manolis Koubarakis
, Konstantina Bereta
, Dimitris Bilidas, Konstantinos Giannousis, Theofilos Ioannidis, Despina-Athanasia Pantazi, George Stamoulis, Jim Dowling, Seif Haridi, Vladimir Vlassov
, Lorenzo Bruzzone, Claudia Paris
, Torbjørn Eltoft, Thomas Krämer
, Angelos Charalambidis, Vangelis Karkaletsis, Stasinos Konstantopoulos, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Florian Appel, Heike Bach, Silke Migdall, Nick Hughes, David Arthurs, Andrew Fleming:
From Copernicus Big Data to Extreme Earth Analytics. EDBT 2019: 690-693
[c193]Daniele Marinelli
, Claudia Paris
, Lorenzo Bruzzone:
An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation. IGARSS 2019: 94-97
[c192]Yady Tatiana Solano Correa
, Francesca Bovolo, Lorenzo Bruzzone:
A Semi-Supervised Crop-Type Classification Based on Sentinel-2 NDVI Satellite Image Time Series And Phenological Parameters. IGARSS 2019: 457-460
[c191]Elena Donini
, Sanchari Thakur
, Francesca Bovolo, Lorenzo Bruzzone:
Assessing the Detection Performance on Icy Targets Acquired by an Orbiting Radar Sounder. IGARSS 2019: 997-1000
[c190]Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Lorenzo Bruzzone:
A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps. IGARSS 2019: 1669-1672
[c189]Sanchari Thakur
, Andrea Vettor, Lorenzo Bruzzone:
Analysis of Subsurface Hypotheses through Simulation of Rime Radargrams Based on Available Analogous Data. IGARSS 2019: 3546-3549
[c188]Lorenzo Bruzzone:
Multisource Labeled Data: an Opportunity for Training Deep Learning Networks. IGARSS 2019: 4799-4802
[c187]Sudipan Saha
, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Multiple-Change Detection in VHR Multisensor Images Via Deep-Learning Based Adaptation. IGARSS 2019: 5033-5036
[c186]Lei Ding, Lorenzo Bruzzone:
A Deep Architecture Based on a Two-Stage Learning for Semantic Segmentation of Large-Size Remote Sensing Images. IGARSS 2019: 5228-5231
[c185]Claudia Paris
, Lorenzo Bruzzone:
Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks. IGARSS 2019: 5722-5725
[c184]Milad Niroumand Jadidi
, Massimo Santoni
, Lorenzo Bruzzone, Francesca Bovolo:
A Novel Approach to Snow Coverage Retrieval Under Cloud-Obscured Pixels Based on Multitemporal Correlation. IGARSS 2019: 5730-5733
[c183]Stefano Perna, Claudia Facchinetti
, Roberto Formaro, Gianluca Gennarelli, Christopher Gerekos
, Riccardo Lanari
, Francesco Longo, Giovanni Ludeno
, Mauro Mariotti d'Alessandro
, Antonio Natale, Carlo Noviello
, Giovanni Alberti, Gianfranco Palmese, Claudio Papa, Giulia Pica, Fabio Rocca, Giuseppe Salzillo, Francesco Soldovieri, Stefano Tebaldini, Sanchari Thakur
, Paolo Berardino, Lorenzo Bruzzone, Dario Califano, Ilaria Catapano, Luca Ciofaniello, Elena Donini
, Carmen Esposito
:
The ASI P-Band Helicopter-Borne Integrated Sounder-Sar System: Preliminary Results of The 2018 Morocco Desert Campaign. IGARSS 2019: 8550-8553
[c182]Silvia Demetri, Marco Zúñiga
, Gian Pietro Picco, Fernando A. Kuipers, Lorenzo Bruzzone, Thomas Telkamp
:
Automated estimation of link quality for LoRa: a remote sensing approach. IPSN 2019: 145-156
[c181]Manuel Bertoluzza, Claudia Paris
, Lorenzo Bruzzone:
A Fast Method for Cloud Removal and Image Restoration on Time Series of Multispectral Images. MultiTemp 2019: 1-4
[c180]Sudipan Saha
, Yady Tatiana Solano Correa
, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised deep learning based change detection in Sentinel-2 images. MultiTemp 2019: 1-4
[c179]Massimo Zanetti, Daniele Marinelli
, Manuel Bertoluzza, Sudipan Saha
, Francesca Bovolo, Lorenzo Bruzzone, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini:
A high resolution burned area detector for Sentinel-2 and Landsat-8. MultiTemp 2019: 1-4
[c178]Alessandro Maffei, Juan Mario Haut
, Mercedes Eugenia Paoletti
, Javier Plaza
, Lorenzo Bruzzone, Antonio Plaza
:
Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising. WHISPERS 2019: 1-4
[i7]Lei Ding, Hao Tang, Lorenzo Bruzzone:
Improving Semantic Segmentation of Aerial Images Using Patch-based Attention. CoRR abs/1911.08877 (2019)- 2018
[j186]Tommaso Scuccato
, Leonardo Carrer
, Francesca Bovolo
, Lorenzo Bruzzone
:
Compensating Earth Ionosphere Phase Distortion in Spaceborne VHF Radar Sounders for Subsurface Investigations. IEEE Geosci. Remote. Sens. Lett. 15(11): 1672-1676 (2018)
[j185]Mehdi Darvishi
, Romy Schlögel
, Lorenzo Bruzzone, Giovanni Cuozzo
:
Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors - Italian Alps (Corvara). Remote. Sens. 10(3): 409 (2018)
[j184]Yady Tatiana Solano Correa
, Francesca Bovolo, Lorenzo Bruzzone
:
An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors. Remote. Sens. 10(4): 533 (2018)
[j183]Mehdi Darvishi
, Romy Schlögel
, Christian Kofler, Giovanni Cuozzo
, Martin Rutzinger
, Thomas Zieher
, Isabella Toschi
, Fabio Remondino
, Abraham Mejia-Aguilar
, Benni Thiebes
, Lorenzo Bruzzone
:
Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy). Remote. Sens. 10(11): 1781 (2018)
[j182]Shaunak De
, Lorenzo Bruzzone
, Avik Bhattacharya
, Francesca Bovolo
, Subhasis Chaudhuri:
A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 154-170 (2018)
[j181]Ana-Maria Ilisei
, Lorenzo Bruzzone
:
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(2): 401-415 (2018)
[j180]Fadi Kizel
, Jón Atli Benediktsson
, Lorenzo Bruzzone
, Gro B. M. Pedersen, Olga K. Vilmundardottir, Nicola Falco
:
Simultaneous and Constrained Calibration of Multiple Hyperspectral Images Through a New Generalized Empirical Line Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(6): 2047-2058 (2018)
[j179]Osman Emre Dai, Begüm Demir
, Bülent Sankur
, Lorenzo Bruzzone
:
A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2473-2490 (2018)
[j178]Hua Zhang
, Lorenzo Bruzzone
, Wenzhong Shi
, Ming Hao, Yunjia Wang:
Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using a Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2896-2910 (2018)
[j177]Lorenzo Bruzzone, Bart Deronde, Else Swinnen
:
Foreword to the Special Issue on Analysis of Multitemporal Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4548-4550 (2018)
[j176]Massimo Zanetti
, Lorenzo Bruzzone
:
A Theoretical Framework for Change Detection Based on a Compound Multiclass Statistical Model of the Difference Image. IEEE Trans. Geosci. Remote. Sens. 56(2): 1129-1143 (2018)
[j175]Bindita Chaudhuri, Begüm Demir
, Subhasis Chaudhuri, Lorenzo Bruzzone
:
Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method. IEEE Trans. Geosci. Remote. Sens. 56(2): 1144-1158 (2018)
[j174]Claudia Paris
, Lorenzo Bruzzone
:
A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 56(3): 1308-1324 (2018)
[j173]Saeid Niazmardi
, Begüm Demir
, Lorenzo Bruzzone
, Abdolreza Safari
, Saeid Homayouni
:
Multiple Kernel Learning for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1425-1443 (2018)
[j172]Siyuan Hao
, Wei Wang
, Yuanxin Ye
, Tingyuan Nie, Lorenzo Bruzzone
:
Two-Stream Deep Architecture for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(4): 2349-2361 (2018)
[j171]Daniele Marinelli
, Claudia Paris
, Lorenzo Bruzzone
:
A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas. IEEE Trans. Geosci. Remote. Sens. 56(6): 3030-3046 (2018)
[j170]Elias Mendez Dominguez
, Erich Meier, David Small
, Michael E. Schaepman
, Lorenzo Bruzzone
, Daniel Henke
:
A Multisquint Framework for Change Detection in High-Resolution Multitemporal SAR Images. IEEE Trans. Geosci. Remote. Sens. 56(6): 3611-3623 (2018)
[j169]Siyuan Hao
, Wei Wang
, Yuanxin Ye
, Enyu Li
, Lorenzo Bruzzone
:
A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss. IEEE Trans. Geosci. Remote. Sens. 56(8): 4650-4663 (2018)
[j168]Chen Yang
, Lorenzo Bruzzone
, Haishi Zhao, Yulei Tan, Renchu Guan
:
Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 56(12): 7230-7245 (2018)
[j167]Christopher Gerekos
, Alessandro Tamponi, Leonardo Carrer
, Davide Castelletti, Massimo Santoni
, Lorenzo Bruzzone
:
A Coherent Multilayer Simulator of Radargrams Acquired by Radar Sounder Instruments. IEEE Trans. Geosci. Remote. Sens. 56(12): 7388-7404 (2018)
[c177]Christopher Gerekos
, Alessandro Tamponi, Leonardo Carrer, Davide Castelletti, Massimo Santoni
, Lorenzo Bruzzone:
A New Technique for Simulating Radar Echoes from Layered Subsurface Targets. IGARSS 2018: 459-462
[c176]Carlo Marin, Mattia Callegari
, Claudia Notarnicola
, Marc Zebisch
, Daniel Günther, Thomas Marke, Ulrich Strasser, Giacomo Bertoldi
, Lorenzo Bruzzone:
A Model Driven Approach for Snow Wetness Retrieval with Sentinel-l. IGARSS 2018: 1886-1889
[c175]Sudipan Saha
, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Multiple-Change Detection in VHR Optical Images Using Deep Features. IGARSS 2018: 1902-1905
[c174]Sicong Liu, Qian Du
, Lorenzo Bruzzone, Alim Samat
, Xiaohua Tong:
Unsupervised Multi-Class Change Detection in Bitemporal Multispectral Images Using Band Expansion. IGARSS 2018: 1910-1913
[c173]Daniele Marinelli
, Nicholas C. Coops
, Douglas K. Bolton, Lorenzo Bruzzone:
An Unsupervised Change Detection Method for Lidar Data in Forest Areas Based on Change Vector Analysis in the Polar Domain. IGARSS 2018: 1922-1925
[c172]Massimo Zanetti, Lorenzo Bruzzone, Diego Fernández-Prieto:
A Multivariate Change Vector Analysis System for Unsupervised Detection of Clear-Cuts in Sentinel-2 Time Series of the Indonesian Forest. IGARSS 2018: 1942-1945
[c171]Yady Tatiana Solano Correa
, Francesca Bovolo, Lorenzo Bruzzone, Diego Fernández-Prieto:
Automatic Derivation of Cropland Phenological Parameters by Adaptive Non-Parametric Regression of Sentinel-2 Ndvi Time Series. IGARSS 2018: 1946-1949
[c170]Claudia Paris
, Lorenzo Bruzzone, Diego Fernández-Prieto:
A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images. IGARSS 2018: 3619-3622
[c169]Daniele Marinelli
, Claudia Paris
, Lorenzo Bruzzone:
Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds. IGARSS 2018: 3999-4002
[c168]Leonardo Carrer, Dustin M. Schroeder, Andrew Romero-Wolf, Paul A. Ries, Lorenzo Bruzzone:
Noise Character Constraints on Passive Radio Sounding of Jupiter's Icy Moons Using Jovian Decametric Radiation. IGARSS 2018: 4158-4161
[c167]Manuel Bertoluzza, Lorenzo Bruzzone, Francesca Bovolo:
A Circular Approach to Multi-Class Change Detection in Multitemporal Sentinel-1 SAR Image Time Series. IGARSS 2018: 4201-4204
[c166]Mattia Callegari
, Carlo Marin, Daniel Günther, Philipp Rastner, Lorenzo Bruzzone, Begüm Demir, Thomas Marke, Ulrich Strasser, Marc Zebisch
, Claudia Notarnicola
:
Integration of Remote Sensing with A Hydroclimatological Model for an Improved Monitoring of Alpine Glaciers. IGARSS 2018: 6239-6242
[c165]Ludovica De Gregorio, Mattia Callegari
, Carlo Marin, Marc Zebisch
, Lorenzo Bruzzone, Begüm Demir, Ulrich Strasser, Daniel Günther, Thomas Marke, Claudia Notarnicola
:
A Novel Data Fusion Technique for Snow Parameter Retrieval. IGARSS 2018: 6247-6250
[c164]Leonardo Carrer, Christopher Gerekos, Lorenzo Bruzzone:
Distributed Radar Sounder System: a Novel Approach to Across-Track Resolution Enhancement and Clutter Reduction. IGARSS 2018: 6765-6768
[c163]Ana-Maria Ilisei, Mahdi Khodadadzadeh, Lorenzo Bruzzone:
Extraction of Statistical Features for Improved Automatic Detection of Subglacial Lakes in Radar Sounder Data. IGARSS 2018: 6792-6795
[c162]Elena Donini
, Francesca Bovolo, Christopher Gerekos, Leonardo Carrer, Lorenzo Bruzzone:
An Approach to Lava Tube Detection in Radar Sounder Data of the Moon. IGARSS 2018: 8424-8427
[i6]Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu:
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery. CoRR abs/1803.02642 (2018)
[i5]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Lorenzo Bruzzone:
Recent Developments from Attribute Profiles for Remote Sensing Image Classification. CoRR abs/1803.10036 (2018)
[i4]Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Francesca Bovolo, Qing Zhu:
A Fast and Robust Matching Framework for Multimodal Remote Sensing Image Registration. CoRR abs/1808.06194 (2018)
[i3]Yao Qin, Lorenzo Bruzzone, Biao Li, Yuanxin Ye:
Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification. CoRR abs/1808.09769 (2018)
[i2]Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Höfle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jón Atli Benediktsson:
Multisource and Multitemporal Data Fusion in Remote Sensing. CoRR abs/1812.08287 (2018)- 2017
[j166]Siyuan Hao, Wei Wang, Yan Yan, Lorenzo Bruzzone:
Class-wise dictionary learning for hyperspectral image classification. Neurocomputing 220: 121-129 (2017)
[j165]Chen Yang
, Yulei Tan
, Lorenzo Bruzzone, Laijun Lu, Renchu Guan
:
Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images. Remote. Sens. 9(8): 782 (2017)
[j164]Federico Di Paolo
, Sebastian Emanuel Lauro
, Davide Castelletti, Giuseppe Mitri
, Francesca Bovolo, Barbara Cosciotti, Elisabetta Mattei, Roberto Orosei, Claudia Notarnicola
, Lorenzo Bruzzone, Elena Pettinelli:
Radar Signal Penetration and Horizons Detection on Europa Through Numerical Simulations. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 118-129 (2017)
[j163]Sicong Liu, Qian Du
, Xiaohua Tong, Alim Samat
, Lorenzo Bruzzone, Francesca Bovolo:
Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(9): 4124-4137 (2017)
[j162]Avik Bhattacharya
, Lorenzo Bruzzone, B. S. Daya Sagar, Paul A. Rosen:
Foreword to the Special Issue on Applied Earth Observation and Remote Sensing in India. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5151-5154 (2017)
[j161]Swarnajyoti Patra
, Kaushal Bhardwaj
, Lorenzo Bruzzone
:
A Spectral-Spatial Multicriteria Active Learning Technique for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5213-5227 (2017)
[j160]Leonardo Carrer
, Lorenzo Bruzzone
:
Automatic Enhancement and Detection of Layering in Radar Sounder Data Based on a Local Scale Hidden Markov Model and the Viterbi Algorithm. IEEE Trans. Geosci. Remote. Sens. 55(2): 962-977 (2017)
[j159]Youkyung Han
, Francesca Bovolo
, Lorenzo Bruzzone
:
Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. 55(5): 2884-2897 (2017)
[j158]Aravind Harikumar
, Francesca Bovolo
, Lorenzo Bruzzone
:
An Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 55(5): 2924-2940 (2017)
[j157]Yuanxin Ye
, Jie Shan
, Lorenzo Bruzzone, Li Shen
:
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity. IEEE Trans. Geosci. Remote. Sens. 55(5): 2941-2958 (2017)
[j156]Claudia Paris
, David Kelbe
, Jan van Aardt
, Lorenzo Bruzzone
:
A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure. IEEE Trans. Geosci. Remote. Sens. 55(7): 3679-3693 (2017)
[j155]Davide Castelletti, Dustin M. Schroeder, Scott Hensley, Cyril Grima
, Gregory Ng, Duncan A. Young, Yonggyu Gim, Lorenzo Bruzzone
, Alina Moussessian, Donald D. Blankenship:
An Interferometric Approach to Cross-Track Clutter Detection in Two-Channel VHF Radar Sounders. IEEE Trans. Geosci. Remote. Sens. 55(11): 6128-6140 (2017)
[j154]Gülsen Taskin Kaya, Hüseyin Kaya
, Lorenzo Bruzzone:
Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Image Process. 26(6): 2918-2928 (2017)
[j153]Massimo Zanetti
, Lorenzo Bruzzone
:
Piecewise Linear Approximation of Vector-Valued Images and Curves via Second-Order Variational Model. IEEE Trans. Image Process. 26(9): 4414-4429 (2017)
[c161]Daniele Marinelli
, Francesca Bovolo, Lorenzo Bruzzone:
A novel change detection method for multitemporal hyperspectral images based on a discrete representation of the change information. IGARSS 2017: 161-164
[c160]Sicong Liu, Qian Du
, Xiaohua Tong, Alim Samat
, Lorenzo Bruzzone, Francesca Bovolo:
A spectral-spatial multiscale approach for unsupervised multiple change detection. IGARSS 2017: 169-172
[c159]Sicong Liu, Xiaohua Tong, Lorenzo Bruzzone, Peijun Du:
A novel semisupervised framework for multiple change detection in hyperspectral images. IGARSS 2017: 173-176
[c158]Manuel Bertoluzza
, Lorenzo Bruzzone, Francesca Bovolo:
A novel framework for bi-temporal change detection in image time series. IGARSS 2017: 1087-1090
[c157]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of multi-label remote sensing images. IGARSS 2017: 1744-1747
[c156]Thomas Reato, Begüm Demir, Lorenzo Bruzzone:
Primitive cluster sensitive hashing for scalable content-based image retrieval in remote sensing archives. IGARSS 2017: 2199-2202
[c155]Claudia Paris
, Lorenzo Bruzzone, Diego Fernández-Prieto:
A novel automatic approach to the update of land-cover maps by unsupervised classification of remote sensing images. IGARSS 2017: 2207-2210
[c154]Claudia Paris
, José M. Bioucas-Dias, Lorenzo Bruzzone:
A hierarchical approach to superresolution of multispectral images with different spatial resolutions. IGARSS 2017: 2589-2592
[c153]Aravind Harikumar
, Francesca Bovolo, Lorenzo Bruzzone:
Subdominant tree detection in multi-layered forests by a local projection of airborne lidar data. IGARSS 2017: 2760-2763
[c152]Mahdi Khodadadzadeh, Ana-Maria Ilisei, Lorenzo Bruzzone:
A technique based on adaptive windows for the classification of radar sounder data. IGARSS 2017: 3739-3742
[c151]Massimo Zanetti, Lorenzo Bruzzone:
A class-wise spatial-contextual approach based on a free discontinuity model for change detection in multispectral images. IGARSS 2017: 3759-3762
[c150]Fadi Kizel
, Lorenzo Bruzzone, Jón Atli Benediktsson:
Simultaneous empirical line calibration of multiple spectral images. IGARSS 2017: 4185-4188
[c149]Davide Pirrone
, Shaunak De
, Avik Bhattacharya
, Lorenzo Bruzzone, Francesca Bovolo:
Unsupervised change detection in built-up areas by multi-temporal polarimetric SAR images. IGARSS 2017: 4554-4557
[c148]Yuanxin Ye
, Lorenzo Bruzzone, Jie Shan
, Li Shen:
Fast and robust structure-based multimodal geospatial image matching. IGARSS 2017: 5141-5144
[c147]Shaunak De
, Davide Pirrone
, Francesca Bovolo, Lorenzo Bruzzone, Avik Bhattacharya
:
A novel change detection framework based on deep learning for the analysis of multi-temporal polarimetric SAR images. IGARSS 2017: 5193-5196
[c146]Manuel Bertoluzza
, Lorenzo Bruzzone, Francesca Bovolo:
Circular change detection in image time series inspired by two-dimensional phase unwrapping. MultiTemp 2017: 1-4
[c145]Lorenzo Bruzzone, Francesca Bovolo, Claudia Paris
, Yady Tatiana Solano Correa
, Massimo Zanetti
, Diego Fernández-Prieto:
Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions. MultiTemp 2017: 1-4
[c144]Yady Tatiana Solano Correa
, Francesca Bovolo, Lorenzo Bruzzone, Diego Fernández-Prieto:
Spatio-temporal evolution of crop fields in Sentinel-2 Satellite Image Time Series. MultiTemp 2017: 1-4
[c143]Daniele Marinelli
, Francesca Bovolo, Lorenzo Bruzzone:
A novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors. MultiTemp 2017: 1-4
[c142]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of remote sensing images based on Bag of spectral values. SIU 2017: 1-4- 2016
[j152]Bindita Chaudhuri, Begüm Demir, Lorenzo Bruzzone, Subhasis Chaudhuri:
Region-Based Retrieval of Remote Sensing Images Using an Unsupervised Graph-Theoretic Approach. IEEE Geosci. Remote. Sens. Lett. 13(7): 987-991 (2016)
[j151]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
Edge-Based Registration-Noise Estimation in VHR Multitemporal and Multisensor Images. IEEE Geosci. Remote. Sens. Lett. 13(9): 1231-1235 (2016)
[j150]Siyuan Hao, Liguo Wang, Lorenzo Bruzzone, Qunming Wang
:
Spatial-dictionary for collaborative representation classification of hyperspectral images. Multim. Tools Appl. 75(15): 9241-9254 (2016)
[j149]Chen Yang, Lorenzo Bruzzone, Haishi Zhao, Yanchun Liang, Renchu Guan
:
Decorrelation-Separability-Based Affinity Propagation for Semisupervised Clustering of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 568-582 (2016)
[j148]Sebastiano B. Serpico, Vito Pascazio, Lorenzo Bruzzone, Paolo Gamba
:
Foreword to the Special Issue on the 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2101-2103 (2016)
[j147]Begüm Demir
, Lorenzo Bruzzone:
Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives. IEEE Trans. Geosci. Remote. Sens. 54(2): 892-904 (2016)
[j146]Begüm Demir
, Lorenzo Bruzzone:
Histogram-Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 2096-2107 (2016)
[j145]Claudio Persello
, Lorenzo Bruzzone:
Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning. IEEE Trans. Geosci. Remote. Sens. 54(5): 2615-2626 (2016)
[j144]Sicong Liu, Lorenzo Bruzzone
, Francesca Bovolo, Peijun Du:
Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(5): 2733-2748 (2016)
[j143]Claudia Paris
, Davide Valduga, Lorenzo Bruzzone
:
A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest. IEEE Trans. Geosci. Remote. Sens. 54(7): 4190-4203 (2016)
[j142]Davide Castelletti, Luca Pasolli, Lorenzo Bruzzone, Claudia Notarnicola
, Begüm Demir
:
A Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation. IEEE Trans. Geosci. Remote. Sens. 54(8): 4764-4774 (2016)
[j141]Pritam Bose
, Nikola K. Kasabov
, Lorenzo Bruzzone, Reggio N. Hartono:
Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series. IEEE Trans. Geosci. Remote. Sens. 54(11): 6563-6573 (2016)
[j140]Ting Lu
, Shutao Li
, Leyuan Fang, Lorenzo Bruzzone
, Jón Atli Benediktsson
:
Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(12): 7122-7134 (2016)
[c141]Aravind Harikumar
, Francesca Bovolo, Lorenzo Bruzzone:
An approach to conifer species classification based on crown structure modeling in high density airborne LiDAR data. IGARSS 2016: 1480-1483
[c140]Saeid Niazmardi
, Begüm Demir, Lorenzo Bruzzone, Abdolreza Safari
, Saeid Homayouni
:
A comparative study on Multiple Kernel Learning for remote sensing image classification. IGARSS 2016: 1512-1515
[c139]Rocchina Guarini, Lorenzo Bruzzone, Massimo Santoni
, Francesco Vuolo
, Luigi Dini
:
Analysis of the potentiality of multi-temporal COSMO-SkyMed ® data for classifying summer crops. IGARSS 2016: 3170-3173
[c138]Mahdi Khodadadzadeh, Lorenzo Bruzzone, Jun Li
, Antonio J. Plaza
:
A Gaussian approach to subspace based classification of hyperspectral images. IGARSS 2016: 3278-3281
[c137]Romano Battiti, Begüm Demir, Lorenzo Bruzzone:
Quad-tree based compressed histogram attribute profiles for classification of very high resolution images. IGARSS 2016: 3330-3333
[c136]Massimo Zanetti
, Lorenzo Bruzzone:
A generalized statistical model for binary change detection in multispectral images. IGARSS 2016: 3378-3381
[c135]Daniele Marinelli
, Claudia Paris
, Lorenzo Bruzzone:
Fusion of high and very high density LiDAR data for 3D forest change detection. IGARSS 2016: 3595-3598
[c134]Yady Tatiana Solano Correa
, Francesca Bovolo, Lorenzo Bruzzone:
An approach to multiple Change Detection in multisensor VHR optical images based on iterative clustering. IGARSS 2016: 5149-5152
[c133]Massimo Zanetti
, Riccardo Zanella, Lorenzo Bruzzone:
A tiling procedure for second-order variational segmentation of large size remote sensing images. IGARSS 2016: 6902-6905
[c132]Claudia Paris
, Lorenzo Bruzzone:
A data-driven identification of growth-model classes for the adaptive estimation of single-tree stem diameter in LiDAR data. IGARSS 2016: 6918-6921
[c131]Fatih Ömrüuzun
, Begüm Demir, Lorenzo Bruzzone, Yasemin Yardimci Çetin:
A novel content based hyperspectral image retrieval system based on bag of end members. SIU 2016: 1465-1468
[c130]Fatih Ömrüuzun, Begüm Demir, Lorenzo Bruzzone, Yasemin Yardimci Çetin:
Content based hyperspectral image retrieval using bag of endmembers image descriptors. WHISPERS 2016: 1-4- 2015
[j139]Biplab Banerjee, Francesca Bovolo
, Avik Bhattacharya
, Lorenzo Bruzzone, Subhasis Chaudhuri, B. Krishna Mohan:
A New Self-Training-Based Unsupervised Satellite Image Classification Technique Using Cluster Ensemble Strategy. IEEE Geosci. Remote. Sens. Lett. 12(4): 741-745 (2015)
[j138]Gabriele Cavallaro
, Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone:
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 12(8): 1690-1694 (2015)
[j137]Luca Pasolli, Claudia Notarnicola
, Giacomo Bertoldi
, Lorenzo Bruzzone, Ruben Remelgado
, Felix Greifeneder
, Georg Niedrist
, Stefano Della Chiesa
, Ulrike Tappeiner
, Marc Zebisch
:
Estimation of Soil Moisture in Mountain Areas Using SVR Technique Applied to Multiscale Active Radar Images at C-Band. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 262-283 (2015)
[j136]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo
, Peijun Du
:
Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(1): 244-260 (2015)
[j135]Claudia Paris
, Lorenzo Bruzzone:
A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images. IEEE Trans. Geosci. Remote. Sens. 53(1): 467-480 (2015)
[j134]Begüm Demir
, Lorenzo Bruzzone:
A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 53(5): 2323-2334 (2015)
[j133]Carlo Marin
, Francesca Bovolo
, Lorenzo Bruzzone:
Building Change Detection in Multitemporal Very High Resolution SAR Images. IEEE Trans. Geosci. Remote. Sens. 53(5): 2664-2682 (2015)
[j132]Ana-Maria Ilisei, Lorenzo Bruzzone:
A System for the Automatic Classification of Ice Sheet Subsurface Targets in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 53(6): 3260-3277 (2015)
[j131]Giona Matasci, Michele Volpi
, Mikhail F. Kanevski
, Lorenzo Bruzzone, Devis Tuia
:
Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(7): 3550-3564 (2015)
[j130]Daniel Capella Zanotta, Lorenzo Bruzzone, Francesca Bovolo
, Yosio Edemir Shimabukuro:
An Adaptive Semisupervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series. IEEE Trans. Geosci. Remote. Sens. 53(7): 3707-3719 (2015)
[j129]Biplab Banerjee, Francesca Bovolo
, Avik Bhattacharya
, Lorenzo Bruzzone, Subhasis Chaudhuri, Krishna Mohan Buddhiraju:
A Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair. IEEE Trans. Geosci. Remote. Sens. 53(7): 4045-4062 (2015)
[j128]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo
, Massimo Zanetti
, Peijun Du
:
Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(8): 4363-4378 (2015)
[j127]Swarnajyoti Patra
, Prahlad Modi, Lorenzo Bruzzone:
Hyperspectral Band Selection Based on Rough Set. IEEE Trans. Geosci. Remote. Sens. 53(10): 5495-5503 (2015)
[j126]Nicola Falco
, Jón Atli Benediktsson
, Lorenzo Bruzzone:
Spectral and Spatial Classification of Hyperspectral Images Based on ICA and Reduced Morphological Attribute Profiles. IEEE Trans. Geosci. Remote. Sens. 53(11): 6223-6240 (2015)
[j125]Youkyung Han, Francesca Bovolo
, Lorenzo Bruzzone:
An Approach to Fine Coregistration Between Very High Resolution Multispectral Images Based on Registration Noise Distribution. IEEE Trans. Geosci. Remote. Sens. 53(12): 6650-6662 (2015)
[j124]Massimo Zanetti
, Francesca Bovolo, Lorenzo Bruzzone:
Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images. IEEE Trans. Image Process. 24(12): 5004-5016 (2015)
[c129]Silvia Demetri, Gian Pietro Picco, Lorenzo Bruzzone:
Estimating Low-Power Radio Signal Attenuation in Forests: A LiDAR-Based Approach. DCOSS 2015: 71-80
[c128]Claudia Paris
, David Kelbe, Jan van Aardt, Lorenzo Bruzzone:
A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data. IGARSS 2015: 49-52
[c127]Claudia Paris
, Davide Valduga, Lorenzo Bruzzone:
A hierarchical approach to the segmentation of single dominant and dominated trees in forest areas by using high-density LiDAR data. IGARSS 2015: 65-68
[c126]Swarnajyoti Patra
, Lorenzo Bruzzone:
A rough set based band selection technique for the analysis of hyperspectral images. IGARSS 2015: 497-500
[c125]Davide Castelletti, Dustin M. Schroeder
, Scott Hensley, Cyril Grima
, Gregory Ng, Duncan A. Young, Yonggyu Gim, Lorenzo Bruzzone, Alina Moussessian, Donald D. Blankenship:
Clutter detection using two-channel radar sounder data. IGARSS 2015: 1052-1055
[c124]Leonardo Carrer, Renato Croci, Lorenzo Bruzzone:
A robust on-board tracking technique for spaceborne radar sounders. IGARSS 2015: 1064-1067
[c123]Gülsen Taskin Kaya, Hüseyin Kaya
, Lorenzo Bruzzone:
A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification. IGARSS 2015: 1108-1111
[c122]Lorenzo Bruzzone, Jeffrey J. Plaut, Giovanni Alberti, Donald D. Blankenship, Francesca Bovolo, Bruce A. Campbell, Davide Castelletti, Yonggyu Gim, Ana-Maria Ilisei, Wlodek Kofman
, Goro Komatsu
, William McKinnon, Giuseppe Mitri
, Alina Moussessian, Claudia Notarnicola
, Roberto Orosei, G. Wesley Patterson, Elena Pettinelli, Dirk Plettemeier:
Jupiter ICY moon explorer (JUICE): Advances in the design of the radar for Icy Moons (RIME). IGARSS 2015: 1257-1260
[c121]Begüm Demir, Lorenzo Bruzzone:
Fast and accurate image classification with histogram based features and additive kernel SVM. IGARSS 2015: 2350-2353
[c120]Begüm Demir, Lorenzo Bruzzone:
Histogram based attribute profiles for classification of very high resolution remote sensing images. IGARSS 2015: 2393-2396
[c119]Francesca Bovolo, Begüm Demir, Lorenzo Bruzzone:
A cluster-based appraoch to content based time series retrieval (CBTSR). IGARSS 2015: 2793-2796
[c118]Yady Tatiana Solano Correa
, Francesca Bovolo, Lorenzo Bruzzone:
VHR time-series generation by prediction and fusion of multi-sensor images. IGARSS 2015: 3298-3301
[c117]Simonetta Paloscia
, Simone Pettinato
, Emanuele Santi
, Claudia Notarnicola
, Felix Greifeneder
, Giovanni Cuozzo, Irene Nicolini, Begüm Demir, Lorenzo Bruzzone:
An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring. IGARSS 2015: 4137-4140
[c116]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Peijun Du
:
Multitemporal spectral unmixing for change detection in hyperspectral images. IGARSS 2015: 4165-4168
[c115]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
Precise co-registration of very high resolution optical images by registration-noise estimation. IGARSS 2015: 4232-4235
[c114]Jiming Li, Lorenzo Bruzzone, Sicong Liu:
Deep feature representation for hyperspectral image classification. IGARSS 2015: 4951-4954
[c113]Ana-Maria Ilisei, Lorenzo Bruzzone:
Integration of radar sounder and altimeter data for the 3D reconstruction of ice sheets. IGARSS 2015: 5224-5227
[c112]Gabriele Cavallaro
, Nicola Falco
, Mauro Dalla Mura
, Lorenzo Bruzzone, Jón Atli Benediktsson
:
Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions. ISMM 2015: 169-181
[c111]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
Fine co-registration of VHR images for multitemporal Urban area analysis. MultiTemp 2015: 1-4
[c110]Simonetta Paloscia
, Simone Pettinato
, Emanuele Santi
, Claudia Notarnicola
, Felix Greifeneder
, Giovanni Cuozzo, Irene Nicolini, Begüm Demir, Lorenzo Bruzzone:
Cosmo-SkyMed and RADARSAT2 image investigation for the monitoring of agricultural areas. SAR 2015: 964206
[c109]Begüm Demir
, Lorenzo Bruzzone:
A novel active learning method for content based remote sensing image retrieval. SIU 2015: 2130-2133- 2014
[j123]Begüm Demir
, Luca Minello, Lorenzo Bruzzone
:
An Effective Strategy to Reduce the Labeling Cost in the Definition of Training Sets by Active Learning. IEEE Geosci. Remote. Sens. Lett. 11(1): 79-83 (2014)
[j122]Ana-Maria Ilisei, Lorenzo Bruzzone:
A Model-Based Technique for the Automatic Detection of Earth Continental Ice Subsurface Targets in Radar Sounder Data. IEEE Geosci. Remote. Sens. Lett. 11(11): 1911-1915 (2014)
[j121]Begüm Demir
, Lorenzo Bruzzone
:
A multiple criteria active learning method for support vector regression. Pattern Recognit. 47(7): 2558-2567 (2014)
[j120]Anshu Singla
, Swarnajyoti Patra
, Lorenzo Bruzzone:
A novel classification technique based on progressive transductive SVM learning. Pattern Recognit. Lett. 42: 101-106 (2014)
[j119]Na Li, Lorenzo Bruzzone, Zengping Chen, Fang Liu:
A Novel Technique Based on the Combination of Labeled Co-Occurrence Matrix and Variogram for the Detection of Built-up Areas in High-Resolution SAR Images. Remote. Sens. 6(5): 3857-3878 (2014)
[j118]Gustavo Camps-Valls
, Devis Tuia
, Lorenzo Bruzzone
, Jón Atli Benediktsson
:
Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods. IEEE Signal Process. Mag. 31(1): 45-54 (2014)
[j117]Nicola Falco
, Jón Atli Benediktsson
, Lorenzo Bruzzone:
A Study on the Effectiveness of Different Independent Component Analysis Algorithms for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2183-2199 (2014)
[j116]Victor-Emil Neagoe
, Radu-Mihai Stoica, Alexandru-Ioan Ciurea, Lorenzo Bruzzone, Francesca Bovolo
:
Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(8): 3525-3533 (2014)
[j115]Qian Du
, Eckart Michaelsen, Peijun Du
, Lorenzo Bruzzone, Xiaohua Tong, Uwe Stilla:
Foreword to the Special Issue on Pattern Recognition in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(12): 4615-4619 (2014)
[j114]Begüm Demir
, Luca Minello, Lorenzo Bruzzone
:
Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method. IEEE Trans. Geosci. Remote. Sens. 52(2): 1272-1284 (2014)
[j113]Emma Izquierdo-Verdiguier
, Luis Gómez-Chova
, Lorenzo Bruzzone
, Gustavo Camps-Valls
:
Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis. IEEE Trans. Geosci. Remote. Sens. 52(9): 5567-5578 (2014)
[j112]Swarnajyoti Patra
, Lorenzo Bruzzone
:
A Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 52(11): 6899-6910 (2014)
[j111]Claudio Persello
, Lorenzo Bruzzone:
Active and Semisupervised Learning for the Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 52(11): 6937-6956 (2014)
[c108]Claudia Paris
, Lorenzo Bruzzone:
A sensor-driven domain adaptation method for the classification of remote sensing images. IGARSS 2014: 185-188
[c107]Lorenzo Bruzzone, Francesca Bovolo
:
A novel circular approach to change detection in pair of images extracted from image time series. IGARSS 2014: 1140-1143
[c106]Claudia Notarnicola
, Luca Pasolli, Giovanni Cuozzo, Felix Greifeneder
, Giacomo Bertoldi
, Stefano Della Chiesa
, Georg Niedrist, Davide Castelletti, Ulrike Tappeiner
, Lorenzo Bruzzone, Marc Zebisch
:
Temporal and spatial soil moisture dynamics in mountain meadows by integrating Radarsat 2 images and ground data. IGARSS 2014: 1222-1225
[c105]Gabriele Cavallaro, Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone:
A comparison of self-dual attribute profiles based on different filter rules for classification. IGARSS 2014: 1265-1268
[c104]Daniel C. Zanotta, Lorenzo Bruzzone, Francesca Bovolo
:
Detection of specific changes in image time series by an adaptive change vector analysis. IGARSS 2014: 1285-1288
[c103]Victor-Emil Neagoe, Alexandru-Ioan Ciurea, Lorenzo Bruzzone, Francesca Bovolo
:
A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier. IGARSS 2014: 1437-1440
[c102]Carlo Marin, Francesca Bovolo
, Lorenzo Bruzzone:
Rapid and accurate damage detection in built-up areas combining stripmap and spotlight SAR images. IGARSS 2014: 2359-2362
[c101]Nicola Falco
, Lorenzo Bruzzone, Jón Atli Benediktsson
:
An ICA based approach to hyperspectral image feature reduction. IGARSS 2014: 3470-3473
[c100]Begüm Demir
, Lorenzo Bruzzone:
Kernel-based hashing for content-based image retrval in large remote sensing data archive. IGARSS 2014: 3542-3545
[c99]Claudio Persello
, Lorenzo Bruzzone:
Relevant and invariant feature selection of hyperspectral images for domain generalization. IGARSS 2014: 3562-3565
[c98]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo
, Peijun Du
:
A novel sequential spectral change vector analysis for representing and detecting multiple changes in hyperspectral images. IGARSS 2014: 4656-4659
[c97]Begüm Demir
, Lorenzo Bruzzone:
Biophysical parameters estimation from remotely sensed images by a multiple criteria active learning method. SIU 2014: 1979-1982- 2013
[j110]Michele Volpi
, Devis Tuia
, Francesca Bovolo
, Mikhail F. Kanevski
, Lorenzo Bruzzone
:
Supervised change detection in VHR images using contextual information and support vector machines. Int. J. Appl. Earth Obs. Geoinformation 20: 77-85 (2013)
[j109]Prashanth Reddy Marpu
, Mattia Pedergnana, Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
Automatic Generation of Standard Deviation Attribute Profiles for Spectral-Spatial Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 10(2): 293-297 (2013)
[j108]Nicola Falco
, Mauro Dalla Mura
, Francesca Bovolo
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
Change Detection in VHR Images Based on Morphological Attribute Profiles. IEEE Geosci. Remote. Sens. Lett. 10(3): 636-640 (2013)
[j107]Chen Yang, Sicong Liu, Lorenzo Bruzzone
, Renchu Guan
, Peijun Du
:
A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 10(5): 1152-1156 (2013)
[j106]Lorenzo Bruzzone
, Francesca Bovolo
:
A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images. Proc. IEEE 101(3): 609-630 (2013)
[j105]Begüm Demir
, Francesca Bovolo
, Lorenzo Bruzzone
:
Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach. IEEE Trans. Geosci. Remote. Sens. 51(1): 300-312 (2013)
[j104]Adamo Ferro
, Dominik Brunner, Lorenzo Bruzzone
:
Automatic Detection and Reconstruction of Building Radar Footprints From Single VHR SAR Images. IEEE Trans. Geosci. Remote. Sens. 51(2): 935-952 (2013)
[j103]Adamo Ferro
, Lorenzo Bruzzone
:
Automatic Extraction and Analysis of Ice Layering in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 51(3-2): 1622-1634 (2013)
[j102]Chen Yang, Lorenzo Bruzzone
, Renchu Guan
, Laijun Lu, Yanchun Liang:
Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 51(3-2): 1666-1679 (2013)
[j101]Francesca Bovolo
, Carlo Marin
, Lorenzo Bruzzone
:
A Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications. IEEE Trans. Geosci. Remote. Sens. 51(4-1): 2042-2054 (2013)
[j100]Adamo Ferro
, Alain Pascal, Lorenzo Bruzzone
:
A Novel Technique for the Automatic Detection of Surface Clutter Returns in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 51(5-2): 3037-3055 (2013)
[j99]Mattia Pedergnana, Prashanth Reddy Marpu
, Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms. IEEE Trans. Geosci. Remote. Sens. 51(6-2): 3514-3528 (2013)
[j98]Ashish Ghosh
, Badri Narayan Subudhi
, Lorenzo Bruzzone
:
Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images. IEEE Trans. Image Process. 22(8): 3087-3096 (2013)
[j97]Begüm Demir
, Francesca Bovolo
, Lorenzo Bruzzone
:
Classification of Time Series of Multispectral Images With Limited Training Data. IEEE Trans. Image Process. 22(8): 3219-3233 (2013)
[c96]Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski:
Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. ICPRAM 2013: 419-424
[c95]Sicong Liu, Lorenzo Bruzzone
, Francesca Bovolo
, Peijun Du
:
A novel hierarchical method for change detection in multitemporal hyperspectral images. IGARSS 2013: 823-826
[c94]Carlo Marin, Francesca Bovolo
, Lorenzo Bruzzone
:
A novel multitemporal detector for primitive extraction from VHR SAR images. IGARSS 2013: 1991-1994
[c93]Claudia Paris
, Lorenzo Bruzzone
:
A novel technique for tree stem height estimation by fusing low density LiDAR data and optical images. IGARSS 2013: 3022-3025
[c92]Carlo Marin, Francesca Bovolo
, Lorenzo Bruzzone
:
Detection of changed buildings in multitemporal Very High Resolution SAR images. IGARSS 2013: 3443-3446
[c91]Francesca Bovolo
, Lorenzo Bruzzone
:
A 4-dimensional approach to image time series visualization and analysis. IGARSS 2013: 3467-3470
[c90]Ana-Maria Ilisei, Lorenzo Bruzzone
:
Automatic classification of subsurface features in radar sounder data acquired in icy areas. IGARSS 2013: 3530-3533
[c89]Lorenzo Bruzzone
, Jeffrey J. Plaut, Giovanni Alberti, Donald D. Blankenship, Francesca Bovolo
, Bruce A. Campbell, Adamo Ferro
, Yonggyu Gim, Wlodek Kofman
, Goro Komatsu
, William McKinnon, Giuseppe Mitri
, Roberto Orosei, G. Wesley Patterson, Dirk Plettemeier, Roberto Seu:
RIME: Radar for Icy Moon Exploration. IGARSS 2013: 3907-3910
[c88]Begüm Demir
, Francesca Bovolo
, Lorenzo Bruzzone
:
Sequential cascade classification of image time series by exploiting multiple pairwise change detection. IGARSS 2013: 3946-3949
[c87]Begüm Demir
, Lorenzo Bruzzone
:
An effective active learning method for interactive content-based retrieval in remote sensing images. IGARSS 2013: 4356-4359
[c86]Nicola Falco, Lorenzo Bruzzone, Jón Atli Benediktsson:
A comparative study of different ICA algorithms for hyperspectral image analysis. WHISPERS 2013: 1-4
[i1]Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson:
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods. CoRR abs/1310.5107 (2013)- 2012
[j96]Mattia Pedergnana, Prashanth Reddy Marpu
, Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles. IEEE J. Sel. Top. Signal Process. 6(7): 856-865 (2012)
[j95]Swarnajyoti Patra
, Lorenzo Bruzzone
:
A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier. IEEE Geosci. Remote. Sens. Lett. 9(3): 497-501 (2012)
[j94]Swarnajyoti Patra
, Lorenzo Bruzzone
:
A cluster-assumption based batch mode active learning technique. Pattern Recognit. Lett. 33(9): 1042-1048 (2012)
[j93]Giorgio A. Licciardi, Alberto Villa, Mauro Dalla Mura
, Lorenzo Bruzzone
, Jocelyn Chanussot, Jón Atli Benediktsson
:
Retrieval of the Height of Buildings From WorldView-2 Multi-Angular Imagery Using Attribute Filters and Geometric Invariant Moments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 71-79 (2012)
[j92]Luca Pasolli, Claudia Notarnicola
, Lorenzo Bruzzone
:
Multi-Objective Parameter Optimization in Support Vector Regression: General Formulation and Application to the Retrieval of Soil Moisture From Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(5): 1495-1508 (2012)
[j91]Begüm Demir
, Francesca Bovolo
, Lorenzo Bruzzone
:
Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification. IEEE Trans. Geosci. Remote. Sens. 50(5-2): 1930-1941 (2012)
[j90]Francesca Bovolo
, Silvia Marchesi, Lorenzo Bruzzone
:
A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. 50(6): 2196-2212 (2012)
[j89]Kanchan Bahirat, Francesca Bovolo
, Lorenzo Bruzzone
, Subhasis Chaudhuri:
A Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps With Class Differences in Source and Target Domains. IEEE Trans. Geosci. Remote. Sens. 50(7): 2810-2826 (2012)
[j88]Adamo Ferro
, Lorenzo Bruzzone
:
Analysis of Radar Sounder Signals for the Automatic Detection and Characterization of Subsurface Features. IEEE Trans. Geosci. Remote. Sens. 50(11): 4333-4348 (2012)
[j87]Claudio Persello
, Lorenzo Bruzzone
:
Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50(11): 4468-4483 (2012)
[c85]Mattia Pedergnana, Prashanth Reddy Marpu
, Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
A novel supervised feature selection technique based on genetic algorithms. IGARSS 2012: 60-63
[c84]Begüm Demir
, Francesca Bovolo
, Lorenzo Bruzzone
:
A novel system for classification of image time series with limited ground reference data. IGARSS 2012: 158-161
[c83]Emma Izquierdo-Verdiguier
, Luis Gómez-Chova
, Lorenzo Bruzzone
, Gustavo Camps-Valls
:
Semisupervised nonlinear feature extraction for image classification. IGARSS 2012: 1525-1528
[c82]Begüm Demir
, Luca Minello, Lorenzo Bruzzone
:
A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers. IGARSS 2012: 1781-1784
[c81]Francesca Bovolo
, Carlo Marin, Lorenzo Bruzzone
:
A novel hierarchical approach to change detection with very high resolution SAR images for surveillance applications. IGARSS 2012: 1992-1995
[c80]Peijun Du
, Sicong Liu, Lorenzo Bruzzone
, Francesca Bovolo
:
Target-driven change detection based on data transformation and similarity measures. IGARSS 2012: 2016-2019
[c79]Adamo Ferro
, Alain Pascal, Lorenzo Bruzzone
:
A novel method for automatic clutter detection in radargrams acquired by orbiting radar sounders. IGARSS 2012: 3210-3213
[c78]Ana-Maria Ilisei, Adamo Ferro
, Lorenzo Bruzzone
:
A technique for the automatic estimation of ice thickness and bedrock properties from radar sounder data acquired at Antarctica. IGARSS 2012: 4457-4460
[c77]Sebastiano B. Serpico, Lorenzo Bruzzone
, Giovanni Corsini
, William J. Emery
, Paolo Gamba
, Andrea Garzelli
, Grégoire Mercier, Josiane Zerubia
, Nicola Acito, Bruno Aiazzi
, Francesca Bovolo
, Fabio Dell'Acqua, Michaela De Martino, Marco Diani
, Vladimir A. Krylov
, Gianni Lisini, Carlo Marin, Gabriele Moser
, Aurélie Voisin, Claudia Zoppetti:
Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures. IGARSS 2012: 5506-5509
[c76]Swarnajyoti Patra
, Lorenzo Bruzzone
:
A novel SOM-based active learning technique for classification of remote sensing images with SVM. IGARSS 2012: 6879-6882
[c75]Luca Pasolli, Mattia Callegari
, Claudia Notarnicola
, Lorenzo Bruzzone
, Marc Zebisch
:
Integration of X-band SAR and optical thermal data for retrieving snowpack parameters in mountain areas. IGARSS 2012: 7035-7038
[c74]Mirco Furlani, Devis Tuia
, Jordi Muñoz-Marí
, Francesca Bovolo
, Gustavo Camps-Valls
, Lorenzo Bruzzone
:
Discovering single classes in remote sensing images with active learning. IGARSS 2012: 7341-7344
[c73]Luca Pasolli, Claudia Notarnicola
, Lorenzo Bruzzone
, Giacomo Bertoldi
, Marc Zebisch
:
Mapping spatial and temporal patterns of soil moisture with ASAR imagery in the Alps. SAR 2012: 85360M
[c72]Begüm Demir
, Francesca Bovolo
, Lorenzo Bruzzone
:
Low-cost updating of land-cover maps by classifiying multitemporal remote sensing images. SIU 2012: 1-4
[c71]Begüm Demir
, Luca Minello, Lorenzo Bruzzone
:
A genetic algorithm based cost-sensitive active learning technique for classification of remote sensing images. TyWRRS 2012: 153-158
[c70]Francesca Bovolo
, Carlo Marin, Lorenzo Bruzzone
:
Freight traffic surveillance in VHR SAR images by multiscale information extraction. TyWRRS 2012: 164-171
[c69]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo
, Peijun Du
:
Unsupervised hierarchical spectral analysis for change detection in hyperspectral images. WHISPERS 2012: 1-4
[c68]Chen Yang, Sicong Liu, Lorenzo Bruzzone, Renchu Guan
, Peijun Du
:
A semisupervised feature metric based band selection method for hyperspectral image classification. WHISPERS 2012: 1-4- 2011
[j86]Gustavo Camps-Valls
, Jón Atli Benediktsson
, Lorenzo Bruzzone
, Jocelyn Chanussot:
Introduction to the Issue on Advances in Remote Sensing Image Processing. IEEE J. Sel. Top. Signal Process. 5(3): 365-369 (2011)
[j85]Dominik Brunner, Guido Lemoine
, Harm Greidanus, Lorenzo Bruzzone
:
Radar Imaging Simulation for Urban Structures. IEEE Geosci. Remote. Sens. Lett. 8(1): 68-72 (2011)
[j84]Mauro Dalla Mura
, Alberto Villa, Jón Atli Benediktsson
, Jocelyn Chanussot, Lorenzo Bruzzone
:
Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis. IEEE Geosci. Remote. Sens. Lett. 8(3): 542-546 (2011)
[j83]Adamo Ferro
, Dominik Brunner, Lorenzo Bruzzone
, Guido Lemoine
:
On the Relationship Between Double Bounce and the Orientation of Buildings in VHR SAR Images. IEEE Geosci. Remote. Sens. Lett. 8(4): 612-616 (2011)
[j82]Luca Pasolli, Claudia Notarnicola
, Lorenzo Bruzzone
:
Estimating Soil Moisture With the Support Vector Regression Technique. IEEE Geosci. Remote. Sens. Lett. 8(6): 1080-1084 (2011)
[j81]Lorenzo Bruzzone
, Giovanni Alberti, Clau Catallo, Adamo Ferro
, Wlodek Kofman
, Roberto Orosei:
Subsurface Radar Sounding of the Jovian Moon Ganymede. Proc. IEEE 99(5): 837-857 (2011)
[j80]Ross S. Lunetta, Daniel L. Civco, Roger L. King, Lorenzo Bruzzone
, John G. Lyon:
Introduction to the Special Section on the Fifth International Workshop on Multi-temporal Imagery Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(2): 251 (2011)
[j79]Begüm Demir
, Claudio Persello
, Lorenzo Bruzzone
:
Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 49(3): 1014-1031 (2011)
[j78]Swarnajyoti Patra
, Lorenzo Bruzzone
:
A Fast Cluster-Assumption Based Active-Learning Technique for Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 49(5): 1617-1626 (2011)
[j77]Michele Dalponte
, Lorenzo Bruzzone
, Damiano Gianelle
:
A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data. IEEE Trans. Geosci. Remote. Sens. 49(7): 2479-2490 (2011)
[c67]Begüm Demir
, Francesca Bovolo
, Lorenzo Bruzzone
:
Detection of land-cover transitions in multitemporal images with active-learning based compound classification. IGARSS 2011: 225-228
[c66]Lorenzo Bruzzone
, Francesca Bovolo
:
A semantic-based multilevel approach to change detection in very high geometrical resolution multitemporal images. IGARSS 2011: 229-232
[c65]Francesca Bovolo
, Lorenzo Bruzzone
:
An adaptive thresholding approach to multiple-change detection in multispectral images. IGARSS 2011: 233-236
[c64]Luca Pasolli, Claudia Notarnicola
, Lorenzo Bruzzone
, Giacomo Bertoldi
, Georg Niedrist, Ulrike Tappeiner
, Marc Zebisch, Fabio Del Frate, Gaia Vaglio Laurin
:
Spatial and temporal mapping of soil moisture content with polarimetric RADARSAT 2 SAR imagery in the Alpine area. IGARSS 2011: 1067-1070
[c63]Adamo Ferro
, Lorenzo Bruzzone
:
A novel approach to the automatic detection of subsurface features in planetary radar sounder signals. IGARSS 2011: 1071-1074
[c62]Luca Pasolli, Lorenzo Bruzzone
, Claudia Notarnicola
:
A novel hybrid approach to the estimation of biophysical parameters from remotely sensed data. IGARSS 2011: 1231-1234
[c61]Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
A general approach to the spatial simplification of remote sensing images based on morphological connected filters. IGARSS 2011: 1239-1242
[c60]Claudio Persello
, Lorenzo Bruzzone
:
A novel active learning strategy for domain adaptation in the classification of remote sensing images. IGARSS 2011: 3720-3723
[c59]Jón Atli Benediktsson
, Lorenzo Bruzzone
, Jocelyn Chanussot, Mauro Dalla Mura
, Philippe Salembier, Silvia Valero:
Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees. ISMM 2011: 306-319
[c58]Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
Self-dual Attribute Profiles for the Analysis of Remote Sensing Images. ISMM 2011: 320-330
[c57]Luca Pasolli, Claudia Notarnicola
, Lorenzo Bruzzone
, Giacomo Bertoldi
, Georg Niedrist, Ulrike Tappeiner
, Marc Zebisch
, Fabio Del Frate, Gaia Vaglio Laurin
:
Comparison of L and C band polarimetric SAR data for the retrieval of soil moisture in the Alps. SAR 2011: 817903
[c56]Michele Dalponte
, Lorenzo Bruzzone
, Damiano Gianelle
:
Tree species classification in the Southern Alps with very high geometrical resolution multispectral and hyperspectral data. WHISPERS 2011: 1-4- 2010
[j76]Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Saroj K. Meher
:
Neuro-fuzzy-combiner: an effective multiple classifier system. Int. J. Knowl. Eng. Soft Data Paradigms 2(2): 107-129 (2010)
[j75]Francesca Bovolo
, Lorenzo Bruzzone
, Luca Capobianco, Andrea Garzelli
, Silvia Marchesi, Filippo Nencini:
Analysis of the Effects of Pansharpening in Change Detection on VHR Images. IEEE Geosci. Remote. Sens. Lett. 7(1): 53-57 (2010)
[j74]Lorenzo Bruzzone
, Mattia Marconcini:
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 770-787 (2010)
[j73]Selim Aksoy
, Nicolas H. Younan, Lorenzo Bruzzone
:
Pattern Recognition in Remote Sensing. Pattern Recognit. Lett. 31(10): 1069-1070 (2010)
[j72]Francesca Bovolo
, Gustavo Camps-Valls
, Lorenzo Bruzzone
:
A support vector domain method for change detection in multitemporal images. Pattern Recognit. Lett. 31(10): 1148-1154 (2010)
[j71]Luis Gómez-Chova
, Gustavo Camps-Valls
, Lorenzo Bruzzone
, Javier Calpe-Maravilla:
Mean Map Kernel Methods for Semisupervised Cloud Classification. IEEE Trans. Geosci. Remote. Sens. 48(1-1): 207-220 (2010)
[j70]Claudio Persello
, Lorenzo Bruzzone
:
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images. IEEE Trans. Geosci. Remote. Sens. 48(3-1): 1232-1244 (2010)
[j69]Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone
, Harm Greidanus:
Building Height Retrieval From VHR SAR Imagery Based on an Iterative Simulation and Matching Technique. IEEE Trans. Geosci. Remote. Sens. 48(3-2): 1487-1504 (2010)
[j68]Dominik Brunner, Guido Lemoine
, Lorenzo Bruzzone
:
Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery. IEEE Trans. Geosci. Remote. Sens. 48(5): 2403-2420 (2010)
[j67]Chen Yang, Lorenzo Bruzzone
, Fengyue Sun, Laijun Lu, Renchu Guan
, Yanchun Liang:
A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 48(6): 2647-2659 (2010)
[j66]Jordi Muñoz-Marí
, Francesca Bovolo
, Luis Gómez-Chova
, Lorenzo Bruzzone
, Gustavo Camps-Valls
:
Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 48(8): 3188-3197 (2010)
[j65]Mauro Dalla Mura
, Jón Atli Benediktsson
, Björn Waske
, Lorenzo Bruzzone
:
Morphological Attribute Profiles for the Analysis of Very High Resolution Images. IEEE Trans. Geosci. Remote. Sens. 48(10): 3747-3762 (2010)
[j64]Silvia Marchesi, Francesca Bovolo
, Lorenzo Bruzzone
:
A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images. IEEE Trans. Image Process. 19(7): 1877-1889 (2010)
[j63]Francesca Bovolo
, Lorenzo Bruzzone
, Lorenzo Carlin:
A Novel Technique for Subpixel Image Classification Based on Support Vector Machine. IEEE Trans. Image Process. 19(11): 2983-2999 (2010)
[c55]Mauro Dalla Mura
, Jón Atli Benediktsson
, Lorenzo Bruzzone
:
Classification of hyperspectral images with Extended Attribute Profiles and feature extraction techniques. IGARSS 2010: 76-79
[c54]Luca Pasolli, Claudia Notarnicola
, Lorenzo Bruzzone
:
Multiobjective model selection for non-linear regression techniques. IGARSS 2010: 268-271
[c53]Adamo Ferro
, Dominik Brunner, Lorenzo Bruzzone
:
Building detection and radar footprint reconstruction from single VHR SAR images. IGARSS 2010: 292-295
[c52]Silvia Marchesi, Lorenzo Bruzzone
:
A registration-noise driven technique for the alignment of VHR remote sensing images. IGARSS 2010: 1023-1026
[c51]Lorenzo Bruzzone
, Francesca Bovolo
:
A conceptual framework for change detection in very high resolution remote sensing images. IGARSS 2010: 2555-2558
[c50]Francesca Bovolo
, Silvia Marchesi, Lorenzo Bruzzone
:
A nearly lossless 2d representation and characterization of change information in multispectral images. IGARSS 2010: 3074-3077
[c49]Dominik Brunner, Lorenzo Bruzzone
, Guido Lemoine
:
Change detection for earthquake damage assessment in built-up areas using very high resolution optical and SAR imagery. IGARSS 2010: 3210-3213
[c48]Lorenzo Bruzzone
, Claudio Persello
:
Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms. IGARSS 2010: 3720-3723
[c47]Luca Pasolli, Claudia Notarnicola
, Lorenzo Bruzzone
, Giacomo Bertoldi
, Georg Niedrist, U. Tappainer, Marc Zebisch
, Fabio Del Frate, Gaia Vaglio Laurin
:
Analysis of polarimetric RADARSAT2 images for soil moisture retrieval in an alpine catchment. SAR 2010: 78290C
[c46]Mauro Dalla Mura
, Alberto Villa, Jón Atli Benediktsson
, Jocelyn Chanussot, Lorenzo Bruzzone:
Classification of hyperspectral images by using morphological attribute filters and Independent Component Analysis. WHISPERS 2010: 1-4
2000 – 2009
- 2009
[j62]Mattia Marconcini, Gustavo Camps-Valls
, Lorenzo Bruzzone
:
A Composite Semisupervised SVM for Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 6(2): 234-238 (2009)
[j61]Dominik Brunner, Guido Lemoine, François-Xavier Thoorens, Lorenzo Bruzzone
:
Distributed Geospatial Data Processing Functionality to Support Collaborative and Rapid Emergency Response. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2(1): 33-46 (2009)
[j60]Michele Dalponte
, Nicholas C. Coops
, Lorenzo Bruzzone
, Damiano Gianelle
:
Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2(4): 310-318 (2009)
[j59]Hampapuram K. Ramapriyan
, Liping Di, Lorenzo Bruzzone
:
Guest Editorial. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 17-19 (2009)
[j58]Tatyana V. Bandos
, Lorenzo Bruzzone
, Gustavo Camps-Valls
:
Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis. IEEE Trans. Geosci. Remote. Sens. 47(3): 862-873 (2009)
[j57]Lorenzo Bruzzone
, Mattia Marconcini:
Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy. IEEE Trans. Geosci. Remote. Sens. 47(4): 1108-1122 (2009)
[j56]Lorenzo Bruzzone
, Claudio Persello
:
A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2142-2154 (2009)
[j55]Francesca Bovolo
, Lorenzo Bruzzone
, Silvia Marchesi:
Analysis and Adaptive Estimation of the Registration Noise Distribution in Multitemporal VHR Images. IEEE Trans. Geosci. Remote. Sens. 47(8-1): 2658-2671 (2009)
[j54]Lorenzo Bruzzone
, Claudio Persello
:
A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability. IEEE Trans. Geosci. Remote. Sens. 47(9): 3180-3191 (2009)
[c45]Michele Dalponte
, Lorenzo Bruzzone
:
Fusion of Hyperspectral and Lidar Remote Sensing Data for the Estimation of Tree Stem Diameters. IGARSS (2) 2009: II:1008-1011
[c44]Claudio Persello
, Lorenzo Bruzzone
:
A Novel Approach to the Selection of Spatially Invariant Features for Classification of Hyperspectral Images. IGARSS (2) 2009: II:61-64
[c43]Silvia Marchesi, Lorenzo Bruzzone
:
ICA and Kernel ICA for Change Detection in Multispectral Remote Sensing Images. IGARSS (2) 2009: II:980-983
[c42]Lorenzo Bruzzone
, Claudio Persello
:
Active Learning for Classification of Remote Sensing Images. IGARSS (3) 2009: III:693-696
[c41]Mauro Dalla Mura
, Jón Atli Benediktsson
, Björn Waske, Lorenzo Bruzzone
:
Morphological Attribute Filters for the Analysis of Very High Resolution Remote Sensing Images. IGARSS (3) 2009: III:97-100
[c40]Francesca Bovolo
, Lorenzo Bruzzone
:
An Adaptive Multiscale Random Field Technique for Unsupervised Change Detection in VHR Multitemporal Images. IGARSS (4) 2009: IV:777-780- 2008
[j53]Mayank Tyagi, Francesca Bovolo
, Ankit K. Mehra, Subhasis Chaudhuri, Lorenzo Bruzzone
:
A Context-Sensitive Clustering Technique Based on Graph-Cut Initialization and Expectation-Maximization Algorithm. IEEE Geosci. Remote. Sens. Lett. 5(1): 21-25 (2008)
[j52]Mauro Dalla Mura
, Jón Atli Benediktsson
, Francesca Bovolo
, Lorenzo Bruzzone
:
An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images. IEEE Geosci. Remote. Sens. Lett. 5(3): 433-437 (2008)
[j51]Giandomenico Nollo
, Mattia Marconcini, Luca Faes
, Francesca Bovolo
, Flavia Ravelli
, Lorenzo Bruzzone
:
An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms. IEEE Trans. Biomed. Eng. 55(9): 2275-2285 (2008)
[j50]Shilpa Inamdar, Francesca Bovolo
, Lorenzo Bruzzone
, Subhasis Chaudhuri:
Multidimensional Probability Density Function Matching for Preprocessing of Multitemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 46(4): 1243-1252 (2008)


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID