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ORCIDHongyan Zhang 0001
Person information
- affiliation: Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- affiliation: Wuhan University, Collaborative Innovation Center of Geospatial Technology, China
Other persons with the same name
- Hongyan Zhang (aka: Hong-Yan Zhang) — disambiguation page
- Hongyan Zhang 0002
![[0000-0003-0221-016X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0221-016X")
— Xinjiang University, School of Physical Science and Technology, Urumqi, China - Hongyan Zhang 0003 — University of Bremen, Institute of Computer Science, Germany
- Hongyan Zhang 0004 — Karlsruhe Institute of Technology, Chair for Embedded Systems, Germany
- Hongyan Zhang 0005 — Civil Aviation University of China, Tianjin, China (and 1 more)
- Hongyan Zhang 0006 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
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2020 – today
- 2023
[j78]Chengkang Zhang, Hongyan Zhang, Sijing Tian:
Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020. Comput. Electron. Agric. 212: 108105 (2023)- [j77]Mengyuan Wang, Wei He, Hongyan Zhang:
A Spatial-Spectral Transformer Network With Total Variation Loss for Hyperspectral Image Denoising. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j76]Shaoguang Huang, Hongyan Zhang, Haijin Zeng, Aleksandra Pizurica:
From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images. Remote. Sens. 15(11): 2832 (2023) - [j75]Manhui Lin, Guangyi Yang, Hongyan Zhang:
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images. IEEE Trans. Image Process. 32: 57-71 (2023) - [j74]Hongyan Zhang, Manhui Lin, Guangyi Yang, Liangpei Zhang:
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. 34(1): 28-42 (2023) - [i7]Zhuohong Li, Wei He, Hongyan Zhang:
National-scale 1-m resolution land-cover mapping for the entire China based on a low-cost solution and open-access data. CoRR abs/2303.05305 (2023) - [i6]Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips:
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. CoRR abs/2303.13404 (2023) - [i5]Haijin Zeng, Jiezhang Cao, Kai Feng, Shaoguang Huang, Hongyan Zhang, Hiep Luong, Wilfried Philips:
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. CoRR abs/2305.04047 (2023) - [i4]Wei He, Jiepan Li, Weinan Cao, Liangpei Zhang, Hongyan Zhang:
Building Extraction from Remote Sensing Images via an Uncertainty-Aware Network. CoRR abs/2307.12309 (2023) - 2022
- [j73]Xin-Ru Feng, Heng-Chao Li, Shuang Liu, Hongyan Zhang:
Correntropy-Based Autoencoder-Like NMF With Total Variation for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j72]Xin-Ru Feng, Heng-Chao Li, Shuang Liu, Hongyan Zhang:
Correction to "Correntropy-Based Autoencoder-Like NMF With Total Variation for Hyperspectral Unmixing". IEEE Geosci. Remote. Sens. Lett. 19: 1 (2022) - [j71]Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang:
Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2089-2107 (2022) - [j70]Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1643-1655 (2022) - [j69]Han Zhai, Jie Zhao, Hongyan Zhang:
Double Attention Based Multilevel One-Dimensional Convolution Neural Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3771-3787 (2022) - [j68]Hongyan Zhang, Fangfang Xiao, Wei He, Zhaoyang Chai, Hong-Tat Ewe:
Multiyear Automated Mapping and Price Analysis of Garlic in Main Planting Areas of China Using Time-Series Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5222-5233 (2022) - [j67]Jingyi Cai, Wei He, Hongyan Zhang:
Anisotropic Spatial-Spectral Total Variation Regularized Double Low-Rank Approximation for HSI Denoising and Destriping. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j66]Yong Chen, Ting-Zhu Huang, Wei He, Xi-Le Zhao, Hongyan Zhang, Jinshan Zeng:
Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j65]Hongyu Chen, Hongyan Zhang, Guangyi Yang, Shengyang Li, Liangpei Zhang:
A Mutual Information Domain Adaptation Network for Remotely Sensed Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j64]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Hybrid-Hypergraph Regularized Multiview Subspace Clustering for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j63]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
A Structural Subspace Clustering Approach for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j62]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j61]Yun-Yang Liu, Xi-Le Zhao, Yu-Bang Zheng, Tian-Hui Ma, Hongyan Zhang:
Hyperspectral Image Restoration by Tensor Fibered Rank Constrained Optimization and Plug-and-Play Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j60]Yiyao Song, Hongyan Zhang, He Huang, Liangpei Zhang:
Remote Sensing Image Spatiotemporal Fusion via a Generative Adversarial Network With One Prior Image Pair. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j59]Huilin Xu, Wei He, Liangpei Zhang, Hongyan Zhang:
Unsupervised Spectral-Spatial Semantic Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j58]Hongyan Zhang, Jingyi Cai, Wei He, Huanfeng Shen, Liangpei Zhang:
Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j57]Hongyan Zhang, Jiaqi Zou, Liangpei Zhang:
EMS-GCN: An End-to-End Mixhop Superpixel-Based Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j56]Xianwei Zheng, Xiujie Wu, Linxi Huan, Wei He, Hongyan Zhang:
A Gather-to-Guide Network for Remote Sensing Semantic Segmentation of RGB and Auxiliary Image. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j55]Jiaqi Zou, Wei He, Hongyan Zhang:
LESSFormer: Local-Enhanced Spectral-Spatial Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j54]Hongyan Zhang, Yue Liao, Honghai Yang, Guangyi Yang, Liangpei Zhang:
A Local-Global Dual-Stream Network for Building Extraction From Very-High-Resolution Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1269-1283 (2022) - [c39]Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang:
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration. ECCV (19) 2022: 19-37 - [c38]Weinan Cao, Hongyan Zhang, Wei He, Hongyu Chen, Ewe Hong Tat:
Autoencoder in Autoencoder Network Based on Low-Rank Embedding for Anomaly Detection in Hyperspectral Images. IGARSS 2022: 3263-3266 - [c37]Weinan Cao, Hongyan Zhang, Wei He, Hongyu Chen, Ewe Hong Tat:
MSBRNet: Multi-Scale Background Reconstruction Network with Low-Rank Embedding for Anomaly Detection in Hyperspectral Images. IGARSS 2022: 3720-3723 - [c36]Zhuohong Li, Jiaqi Zou, Fangxiao Lu, Hongyan Zhang:
Multi-Stage Pseudo-Label Iteration Framework for Semi-Supervised Land-Cover Mapping. IGARSS 2022: 4607-4610 - [i3]Jiepan Li, Wei He, Hongyan Zhang:
Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentation. CoRR abs/2210.15156 (2022) - 2021
- [j53]Chengkang Zhang, Hongyan Zhang, Liangpei Zhang:
Spatial domain bridge transfer : An automated paddy rice mapping method with no training data required and decreased image inputs for the large cloudy area. Comput. Electron. Agric. 181: 105978 (2021) - [j52]Hongyan Zhang, Hongyu Du, Chengkang Zhang, Liangpei Zhang:
An automated early-season method to map winter wheat using time-series Sentinel-2 data: A case study of Shandong, China. Comput. Electron. Agric. 182: 105962 (2021) - [j51]Hongyan Zhang, Qi Huang, Han Zhai, Liangpei Zhang:
Multi-temporal cloud detection based on robust PCA for optical remote sensing imagery. Comput. Electron. Agric. 188: 106342 (2021) - [j50]Saket Kunwar, Hongyu Chen, Manhui Lin, Hongyan Zhang, Pablo d'Angelo, Daniele Cerra, Seyed Majid Azimi, Myron Brown, Gregory D. Hager, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux:
Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 922-935 (2021) - [j49]Yanbiao Ma, Yuxin Li, Kexin Feng, Yu Xia, Qi Huang, Hongyan Zhang, Colin Prieur, Giorgio Licciardi, Hana Malha, Jocelyn Chanussot, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12375-12385 (2021) - [j48]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Nonlocal Means Regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(5): 4164-4178 (2021) - [j47]Hongyan Zhang, Yiyao Song, Chang Han, Liangpei Zhang:
Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 59(5): 4273-4286 (2021) - [j46]Huilin Xu, Hongyan Zhang, Liangpei Zhang:
A Superpixel Guided Sample Selection Neural Network for Handling Noisy Labels in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(11): 9486-9503 (2021) - [j45]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Sparsity-Based Clustering for Large Hyperspectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10410-10424 (2021) - [j44]Hongyan Zhang, Hongyu Chen, Guangyi Yang, Liangpei Zhang:
LR-Net: Low-Rank Spatial-Spectral Network for Hyperspectral Image Denoising. IEEE Trans. Image Process. 30: 8743-8758 (2021) - [c35]Ziqiao Wang, Hongyan Zhang, Wei He, Liangpei Zhang:
Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification. CVPR Workshops 2021: 2940-2949 - [c34]Yu Xia, Qi Huang, Hongyan Zhang:
A Multi-Model Fusion of Convolution Neural Network and Random Forest for Detecting Settlements Without Electricity. IGARSS 2021: 1843-1846 - [c33]Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Guangyi Yang, Liangpei Zhang:
Change Cross-Detection Based on Label Improvements and Multi-Model Fusion for Multi-Temporal Remote Sensing Images. IGARSS 2021: 2054-2057 - [c32]Guoying Yin, Hongyan Zhang, Liangpei Zhang:
A New Comprehensive Drought Index Based on Response Adjustment for Vegetation Types. IGARSS 2021: 8636-8639 - 2020
- [j43]Hongyan Zhang, Jinzhong Kang, Xiong Xu, Liangpei Zhang:
Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi'an County, Heilongjiang province, China. Comput. Electron. Agric. 176: 105618 (2020) - [j42]Shaoguang Huang, Hongyan Zhang, Qian Du, Aleksandra Pizurica:
Sketch-Based Subspace Clustering of Hyperspectral Images. Remote. Sens. 12(5): 775 (2020) - [j41]Hang Chen, Hongyan Zhang, Juan Du, Bin Luo:
Unified Framework for the Joint Super-Resolution and Registration of Multiangle Multi/Hyperspectral Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2369-2384 (2020) - [j40]Hongyan Zhang, Lu Liu, Wei He, Liangpei Zhang:
Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition. IEEE Trans. Geosci. Remote. Sens. 58(5): 3071-3084 (2020) - [c31]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Sketched Sparse Subspace Clustering For Large-Scale Hyperspectral Images. ICIP 2020: 1766-1770 - [c30]Yue Liao, Hongyan Zhang, Guangyi Yang, Liangpei Zhang:
Learning Discriminative Global and Local Features for Building Extraction from Aerial Images. IGARSS 2020: 1821-1824 - [c29]Yiyao Song, Hongyan Zhang, Liangpei Zhang:
Remote Sensing Image Spatio-Temporal Fusion via a Generative Adversarial Network Through One Prior Image Pair. IGARSS 2020: 7009-7012 - [c28]Yu Xia, Yue Liao, Hongyan Zhang, Guangyi Yang:
Land Cover Mapping Based On Multi-Branch Fusion Of Object-Based And Pixel-Based Segmentation With Filtered Labels. IGARSS 2020: 7050-7053 - [i2]Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang:
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. CoRR abs/2010.12921 (2020)
2010 – 2019
- 2019
- [j39]Huilin Xu, Hongyan Zhang, Wei He, Liangpei Zhang:
Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification. Neurocomputing 360: 138-150 (2019) - [j38]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Semisupervised Sparse Subspace Clustering Method With a Joint Sparsity Constraint for Hyperspectral Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(3): 989-999 (2019) - [j37]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Total Variation Regularized Collaborative Representation Clustering With a Locally Adaptive Dictionary for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57(1): 166-180 (2019) - [j36]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection. IEEE Trans. Geosci. Remote. Sens. 57(3): 1723-1740 (2019) - [c27]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Landmark-Based Large-Scale Sparse Subspace Clustering Method for Hyperspectral Images. IGARSS 2019: 799-802 - [c26]Yu Xia, Hongyan Zhang, Liangpei Zhang, Zhiyu Fan:
Cloud Removal of Optical Remote Sensing Imagery with Multitemporal Sar-Optical Data Using X-Mtgan. IGARSS 2019: 3396-3399 - [c25]Hongyu Chen, Manhui Lin, Hongyan Zhang, Guangyi Yang, Gui-Song Xia, Xianwei Zheng, Liangpei Zhang:
Multi-Level Fusion of the Multi-Receptive Fields Contextual Networks and Disparity Network for Pairwise Semantic Stereo. IGARSS 2019: 4967-4970 - [c24]Zhaoyang Chai, Hongyan Zhang, Xiong Xu, Liangpei Zhang:
Garlic Mapping for Sentinel-2 Time-Series Data Using a Random Forest Classifier. IGARSS 2019: 7224-7227 - 2018
- [j35]Wei He, Hongyan Zhang, Huanfeng Shen, Liangpei Zhang:
Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 713-729 (2018) - [c23]Jinzhong Kang, Hongyan Zhang, Honghai Yang, Liangpei Zhang:
Support Vector Machine Classification of Crop Lands Using Sentinel-2 Imagery. Agro-Geoinformatics 2018: 1-6 - [c22]Chengkang Zhang, Hongyan Zhang, Juan Du, Liangpei Zhang:
Automated Paddy Rice Extent Extraction with Time Stacks of Sentinel Data: A Case Study in Jianghan Plain, Hubei, China. Agro-Geoinformatics 2018: 1-6 - [c21]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Joint Sparsity Based Sparse Subspace Clustering for Hyperspectral Images. ICIP 2018: 3878-3882 - [c20]Huilin Xu, Hongyan Zhang, Wei He, Liangpei Zhang:
Superpixel Based Dimension Reduction for Hyperspectral Imagery. IGARSS 2018: 2575-2578 - [c19]Peiyu Dai, Hongyan Zhang, Liangpei Zhang, Huanfeng Shen:
A Remote Sensing Spatiotemporal Fusion Model of Landsat and Modis Data via Deep Learning. IGARSS 2018: 7030-7033 - 2017
- [j34]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li, Antonio Plaza:
A New Sparse Subspace Clustering Algorithm for Hyperspectral Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 14(1): 43-47 (2017) - [j33]Han Zhai, Hongyan Zhang, Xiong Xu, Liangpei Zhang, Pingxiang Li:
Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation. Remote. Sens. 9(4): 335 (2017) - [j32]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
A Robust Sparse Representation Model for Hyperspectral Image Classification. Sensors 17(9): 2087 (2017) - [j31]Renbo Luo, Wenzhi Liao, Hongyan Zhang, Liangpei Zhang, Paul Scheunders, Youguo Pi, Wilfried Philips:
Fusion of Hyperspectral and LiDAR Data for Classification of Cloud-Shadow Mixed Remote Sensed Scene. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3768-3781 (2017) - [j30]Haiyan Fan, Yunjin Chen, Yulan Guo, Hongyan Zhang, Gangyao Kuang:
Hyperspectral Image Restoration Using Low-Rank Tensor Recovery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(10): 4589-4604 (2017) - [j29]Wei He, Hongyan Zhang, Liangpei Zhang:
Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 55(7): 3909-3921 (2017) - [c18]Shaoguang Huang, Hongyan Zhang, Wenzhi Liao, Aleksandra Pizurica:
Robust joint sparsity model for hyperspectral image classification. ICIP 2017: 3130-3134 - [c17]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Total variation regularized collaborative representation clustering with a locally adaptive dictionary for hyperspectral remote sensing imagery. IGARSS 2017: 3755-3758 - 2016
- [j28]Wei He, Hongyan Zhang, Liangpei Zhang, Wilfried Philips, Wenzhi Liao:
Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 13(5): 686-690 (2016) - [j27]Xiangchao Meng, Jie Li, Huanfeng Shen, Liangpei Zhang, Hongyan Zhang:
Pansharpening with a Guided Filter Based on Three-Layer Decomposition. Sensors 16(7): 1068 (2016) - [j26]Linwei Yue, Huanfeng Shen, Jie Li, Qiangqiang Yuan, Hongyan Zhang, Liangpei Zhang:
Image super-resolution: The techniques, applications, and future. Signal Process. 128: 389-408 (2016) - [j25]Chang Han, Hongyan Zhang, Changxin Gao, Cheng Jiang, Nong Sang, Liangpei Zhang:
A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(1): 439-453 (2016) - [j24]Wei He, Hongyan Zhang, Liangpei Zhang:
Sparsity-Regularized Robust Non-Negative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4267-4279 (2016) - [j23]Wei He, Hongyan Zhang, Liangpei Zhang, Huanfeng Shen:
Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration. IEEE Trans. Geosci. Remote. Sens. 54(1): 178-188 (2016) - [j22]Hongyan Zhang, Han Zhai, Liangpei Zhang, Pingxiang Li:
Spectral-Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 54(6): 3672-3684 (2016) - [c16]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Squaring weighted low-rank subspace clustering for hyperspectral image band selection. IGARSS 2016: 2434-2437 - [c15]Renbo Luo, Wenzhi Liao, Hongyan Zhang, Youguo Pi, Wilfried Philips:
Classification of cloudy hyperspectral image and LiDAR data based on feature fusion and decision fusion. IGARSS 2016: 2518-2521 - [c14]Wei He, Hongyan Zhang, Liangpei Zhang:
Hyperspectral unmixing using total variation regularized reweighted sparse non-negative matrix factorization. IGARSS 2016: 7034-7037 - [c13]Hang Chen, Hongyan Zhang, Liangpei Zhang:
Robust superresolution of multiangle-multispectral remote sensing images based on rank minimization. IGARSS 2016: 7264-7267 - [c12]Huifang Li, Huanfeng Shen, Qiangqiang Yuan, Hongyan Zhang, Lefei Zhang, Liangpei Zhang:
Quality improvement of hyperspectral remote sensing images: A technical overview. WHISPERS 2016: 1-5 - [c11]Rui Wang, Wenzhi Liao, Heng-Chao Li, Hongyan Zhang, Aleksandra Pizurica:
Hyperspectral unmixing by reweighted low rank and total variation. WHISPERS 2016: 1-4 - [c10]Hongyan Zhang, Wei He, Wenzhi Liao, Renbo Luo, Liangpei Zhang, Aleksandra Pizurica:
Exploiting the low-rank property of hyperspectral imagery: A technical overview. WHISPERS 2016: 1-5 - [i1]Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - 2015
- [j21]Hongyan Zhang, Liangpei Zhang, Huanfeng Shen:
A Blind Super-Resolution Reconstruction Method Considering Image Registration Errors. Int. J. Fuzzy Syst. 17(2): 353-364 (2015) - [j20]Xiaoshuang Ma, Huanfeng Shen, Liangpei Zhang, Jie Yang, Hongyan Zhang:
Adaptive Anisotropic Diffusion Method for Polarimetric SAR Speckle Filtering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(3): 1041-1050 (2015) - [j19]Jiayi Li, Hongyan Zhang, Liangpei Zhang, Li Ma:
Hyperspectral Anomaly Detection by the Use of Background Joint Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2523-2533 (2015) - [j18]Jiayi Li, Hongyan Zhang, Liangpei Zhang:
A Nonlinear Multiple Feature Learning Classifier for Hyperspectral Images With Limited Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2728-2738 (2015) - [j17]Wei He, Hongyan Zhang, Liangpei Zhang, Huanfeng Shen:
Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3050-3061 (2015) - [j16]Jiayi Li, Hongyan Zhang, Liangpei Zhang:
Efficient Superpixel-Level Multitask Joint Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(10): 5338-5351 (2015) - [c9]Jiayi Li, Hongyan Zhang, Liangpei Zhang:
Efficient superpixel-oriented multi-task joint sparse representation classification for hyperspectral imagery. IGARSS 2015: 2592-2595 - [c8]Xiangchao Meng, Huanfeng Shen, Huifang Li, Qiangqiang Yuan, Hongyan Zhang, Liangpei Zhang:
Improving the spatial resolution of hyperspectral image using panchromatic and multispectral images: An integrated method. WHISPERS 2015: 1-4 - [c7]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li, Xiong Xu:
Spectral-spatial clustering of hyperspectral remote sensing image with sparse subspace clustering model. WHISPERS 2015: 1-4 - 2014
- [j15]Xinghua Li, Huanfeng Shen, Liangpei Zhang, Hongyan Zhang, Qiangqiang Yuan:
Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression. IEEE Geosci. Remote. Sens. Lett. 11(4): 768-772 (2014) - [j14]Jiayi Li, Hongyan Zhang, Liangpei Zhang:
Supervised Segmentation of Very High Resolution Images by the Use of Extended Morphological Attribute Profiles and a Sparse Transform. IEEE Geosci. Remote. Sens. Lett. 11(8): 1409-1413 (2014) - [j13]Hongyan Zhang, Zeyu Yang, Liangpei Zhang, Huanfeng Shen:
Super-Resolution Reconstruction for Multi-Angle Remote Sensing Images Considering Resolution Differences. Remote. Sens. 6(1</