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ORCID12th WHISPERS 2022: Rome, Italy
- 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2022, Rome, Italy, September 13-16, 2022. IEEE 2022, ISBN 978-1-6654-7069-8
- ShiQing Wang, Kun Qian, Peng Chen:
BS-SiamRPN: Hyperspectral Video Tracking based on Band Selection and the Siamese Region Proposal Network. 1-8 - Sivert Bakken, Aksel S. Danielsen, Kristine Døsvik, Joseph L. Garrett, Milica Orlandic, Dennis D. Langer, Tor Arne Johansen:
A Modular Hyperspectral Image Processing Pipeline For Cubesats. 1-5 - Yinjian Wang, Wei Li, Na Liu, Ran Tao:
Bi-Temporal Remote Sensing Image Fusion Via Semi-Coupled Low-Rank Tensor Approximation. 1-4 - Shailesh S. Deshpande, H. Manish Kausik, P. Balamuralidhar:
Shape Transformation Based Similarity Metric For Hyperspectral Data. 1-4 - Hyeok Yoon, Jungi Lee:
Hyperspectral Image Visualization Through Neural Network For The Food Industry. 1-5 - Chia-Hsiang Lin, Man-Chun Chu, Hone-Jay Chu:
High-Dimensional Multiresolution Satellite Image Classification: An Approach Blending The Advantages Of Convex Optimization And Deep Learning. 1-5 - Thomas De Kerf
, Zohreh Zahiri, Paul Scheunders, Steve Vanlanduit:
Corrosion Monitoring On Zinc Electroplated Steel Using Shortwave Infrared Hyperspectral Imaging. 1-5 - Yang Chu, Minchao Ye, Yuntao Qian:
Incorporating Attention Mechanism And Graph Regularization Into Cnns For Hyperspectral Image Classification. 1-5 - Myounghwan Kim, Jungi Lee:
Extension Of Guided Filter With Memory For Projection On Training Spectrum. 1-5 - Dario Spiller, Stefania Amici, Luigi Ansalone:
Transfer Learning Analysis For Wildfire Segmentation Using Prisma Hyperspectral Imagery And Convolutional Neural Networks. 1-5 - Tarek Zenati, Bruno Figliuzzi, Shu Hui Ham:
Characterization Of Surface Oxides From Hyperspectral Measurements. 1-5 - Bhagyashree Verma, Rajendra Prasad, Prashant K. Srivastava, Prachi Singh:
Retrieval of Leaf Area Index Using Inversion Algorithm. 1-4 - Romain Thoreau, Véronique Achard, Laurent Risser, Béatrice Berthelot, Xavier Briottet:
Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification. 1-5 - Arvind Kumar Singh, Renuvenkataswamy Sunkara, Govind R. Kadambi:
Wrapper Based Principal Component Selection For Hyperspectral Image Classification. 1-6 - Linghui Zhu, Li Ma, Xingmei Li:
Iterative Semi-Supervised Manifold Alignment For Hyperspectral Image Classification. 1-5 - Guichen Zhang, Daniele Cerra, Rupert Müller, Paul Scheunders:
Shadow-Aware Nonlinear Spectral Unmixing With Spatial Regularization. 1-5 - Tarek Zenati, Bruno Figliuzzi, Shu Hui Ham:
A Supervised Approach For The Detection Of Surface Oxides From Hyperspectral Measurements. 1-5 - Ámbar Pérez-García, Pablo Horstrand, José Francisco López:
Ndoi, A Novel Oil Spectral Index: Comparisons And Results. 1-5 - Koushikey Chhapariya, Krishna Mohan Buddhiraju, Anil Kumar:
Spectral-Spatial Classification Of Hyperspectral Images With Multi-Level Cnn. 1-5 - Chengfang Liang, Zhao Chen:
A Self-Supervised Hierarchical Clustering Network For Multiple Change Detection In Multitemporal Hyperspectral Images. 1-4 - M. Biquard, A. Rouxel, Simon Lacroix, Hervé Carfantan, Antoine Monmayrant, Henri Camon:
Cssnet: A Learning Algorithm For The Segmentation Of Compressed Hyperspectral Images. 1-5 - Ulrike Pestel-Schiller, Ye Yang, Jörn Ostermann:
Semantic Segmentation Of Natural And Man-Made Fruits Using A Spatial-Spectral Two-Branches-Cnn For Sparse Data. 1-5 - Hilda Deborah:
Hyperspectral Pigment Dataset. 1-5 - Freddy A. Diaz-Gonzalez, Carlos Adrian Correa-Florez, José Vuelvas, Victoria E. Vallejo, Diego Patiño:
A methodology for estimating soil quality indicators in agricultural systems using UAV and machine learning. 1-5 - Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan:
Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry. 1-5 - Abigail Basener, Bill Basener:
Deep Learning Of Radiative Atmospheric Transfer With An Autoencoder. 1-7 - Omid Ghozatlou, Miguel Heredia Conde, Mihai Datcu:
Wavelet-Guided Deep Neural Network For Robust One-Class Classification. 1-5 - Dahan Xi, Lin He, Honghao Lai:
Adaptive Multi-Stage Pansharpening CNN for Hyperspectral Images. 1-4 - Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu:
A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution. 1-5 - Maria Lucia Cardinali, Fauzia Albertin, Laura Cartechini, Irina Crina Anca Sandu, Eva Storevik Tveit, Aldo Romani, Chiara Grazia, Renato Pereira De Freitas, Vittoria Bruni, Domenico Vitulano, Francesca Rosi:
Unveiling "The Scream" by Edvard Munch: Iterative Fuzzy c-Means Analysis OF Macro-XRF Mapping. 1-5 - Jawad Haidar, Samir Mustapha, Darine Salam, Ali Tehrani:
Optimal Spatial-Spectral Input For Real-Time Hyperspectral Image Classification. 1-5 - Seema Chouhan, Behnood Rasti, Pedram Ghamisi, Sandra Lorenz, Margret C. Fuchs, Richard Gloaguen:
Hyperspectral Unmixing Using Convolutional Autoencoder For Metal Detection In Lithium-Ion Battery Recycling Applications. 1-5 - Carolina Blanch Perez del Notario, Bert Geelen, Kathleen Vunckx, Bart Masschelein, Steven Thijs:
Benefits Of Multi-Exposure For Hyperspectral Imaging. 1-5 - Honghao Lai, Lin He, Dahan Xi:
Spectrally Coarse-To-Fine Pansharpening For Hyperspectral Images. 1-4 - Chia-Hsiang Lin, Tzu-Hsuan Lin, Ting-Hsuan Lin, Tang-Huang Lin:
Fast Reconstruction of Hyperspectral Image From its RGB Counterpart Using ADMM-Adam Theory. 1-5 - Federico Grillini, Jean-Baptiste Thomas, Sony George:
Hyperspectral Vnir - Swir Image Registration: Do Not Throw Away Those Overlapping Low Snr Bands. 1-5 - Behnood Rasti, Bikram Koirala:
Blind Nonlinear Unmixing For Intimate Mixtures Using Hapke Model And CNN. 1-5 - Nan Su, Hongjiao Liu, Chunhui Zhao, Yiming Yan, Jinpeng Wang, Jiayue He:
A Transformer-Based Three-Branch Siamese Network For Hyperspectral Object Tracking. 1-5 - Haim Elisha, Stanley R. Rotman:
Hyperspectral Target Detection Using Segmented Matched Filter with Local Covariance Reassignment. 1-5 - Jobin Francis, K. S. Shanthini, Sudhish N. George, Sony George:
A Tensor Non-Convex Low Rank And Sparse Constrained Band Selection Scheme For Clustering Of Hyperspectral Paper Data. 1-5 - Vikas Dugesar, Prashant K. Srivastav:
Appraisal Of Sentinel-2 Derived Vegetation Indices Using Uav Mounted With Visible-Ir Sensors. 1-4 - Claudia Aviles Toledo, Melba Crawford, Tony Vyn:
Maize Yield Prediction Based On Multi-Modality Remote Sensing And Lstm Models In Nitrogen Management Practice Trials. 1-7 - L. Kühnlein, Sina Keller:
Evaluation Of Transformers And Convolutional Neural Networks For High-Dimensional Hyperspectral Soil Texture Classification. 1-5 - Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit:
Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package. 1-5 - Yangrui Liu, Chia-Hsiang Lin, Yu-Chun Kuo:
Low-Rank Representation With Morphological-Attribute-Filter Based Regularization For Hyperspectral Anomaly Detection. 1-5 - Ramin Heidarian Dehkordi, Francesco Nutini, Simone Mereu, Gabriele Candiani, Margherita De Peppo, Mirco Boschetti:
Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing. 1-8 - Mihai Ivanovici:
A Fractal Dimension Estimator For Multispectral Images. 1-4 - Longfei Ren, Danfeng Hong, Xu Sun, Lianru Gao, Min Huang:
Hyperspectral Sparse Unmixing Via Firm Thresholding Mapping. 1-5 - Yuanhang Lin, Paul D. Gader:
Addressing Spectral Variability In Hyperspectral Unmixing With Unsupervised Neural Networks. 1-5 - Yifan Zhang, Xu Li, Feiyue Wang, Baoguo Wei, Lixin Li:
A Fast Hyperspectral Object Tracking Method Based On Channel Selection Strategy. 1-5 - Liel Kapah, Noy Weizman, Dima Bykhovsky, Isaac August:
Hyper-Spectral Image Compression By Joint Spatial Spectral Dimension Reduction Using Thresholded Principal Component Analysis. 1-5 - Miguel Marquez, Jonathan Monsalve, Kevin Arias, Karen Sanchez, Carlos Hinojosa, Henry Arguello:
Hierarchical Compressed Subspace Clustering Of Infrared Single-Pixel Measurements. 1-6 - Prachi Singh, Prashant K. Srivastava, R. K. Mall, Bhagyashree Verma, Rajendra Prasad:
Identification Of Optimal Absorbance Spectral Bands From Aviris-Ng Using Standard Derivative Analysis. 1-4 - Bishwas Praveen, Vineetha Menon:
Hyper-Vit: A Novel Light-Weighted Visual Transformer-Based Supervised Classification Framework For Hyperspectral Remote Sensing Applications. 1-5 - Ayoub Alayoub, Samer Abed El Rahim, Samir Mustapha, Darine Salam, Ali Tehrani, Nguyen Lu Dang Khoa:
The Application Of Machine Learning To Paint Condition Assessment Using Hyperspectral Data. 1-6 - Ye Wang, Yuheng Liu, Ge Zhang, Yuru Su, Shun Zhang, Shaohui Mei:
Spectral-Spatial-Aware Transformer Fusion Network For Hyperspectral Object Tracking. 1-5 - Lennert Antson, Arthur Vandenhoeke, Michal Shimoni, Charles Hamesse, Hiep Luong:
Detection and Tracking of Search and Rescue Personnel Under Hindered Light Conditions Using Hyperspectral Imaging. 1-6 - Bin Yang, Shunshi Hu:
What Kind Of Spatial And Spectral Resolution Of Uav-Borne Hyperspectral Image Is Required For Precise Crop Classification When Using Deep Learning. 1-5 - Joseph L. Garrett, Nitesh Kumar Singh, Tor Arne Johansen, Ion Necoara:
Accelerating Support Vector Machines For Remote Platforms By Increasing Sparsity. 1-5 - Marie Bøe Henriksen, Fred Sigernes, Tor Arne Johansen:
A Closer Look At A Spectrographic Wavelength Calibration. 1-5 - Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura:
Multi Spectral-Spatial Gabor Feature Fusion Based On End-To-End Deep Learning For Hyperspectral Image Classification. 1-6 - Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann:
Deep Self-Supervised Pixel-Level Learning For Hyperspectral Classification. 1-5 - Bill Basener:
Target Identification and Bayesian Model Averaging with Probabilistic Hierarchical Factor Probabilities. 1-7 - Dennis D. Langer, Tor Arne Johansen, Asgeir J. Sørensen:
Interactive Hyperspectral Data Inspection During Field Operations. 1-5 - Jannick Kuester, Wolfgang Gross, Simon Schreiner, Michael Heizmann, Wolfgang Middelmann:
Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data. 1-5 - Junjie Wang, Wei Li, Mengmeng Zhang, Yunhao Gao:
Multisource Remote Sensing Data Classification Based on A Dual Attention Fusion Network. 1-4 - Bill Basener:
Classifying Crop Types Using Gaussian Bayesian Models and Neural Networks on Ghisaconus USGS Data from NASA Hyperspectral Satellite Imagery. 1-6 - Bill Basener:
Neural Network Learning Of Chemical Bond Representations In Spectral Indices And Features. 1-9 - Petra Schumacher, Robin Gruna, Thomas Längle, Jürgen Beyerer:
Problem-Specific Optimized Multispectral Sensing for Improved Quantification of Plant Biochemical Constituents. 1-6 - Hongmin Gao, Yiyan Zhang, Zhonghao Chen, Hongyi Wu, Weibo Zhang, Chenming Li:
Exploring the Collaboration Between Convolutional Neural Networks and Transformers in Hyperspectral Image Classification. 1-5 - Dong Bao, Gervase Tuxworth, Jun Zhou:
Similarity-Based Hyperspectral Band Selection Using Deep Reinforcement Learning. 1-5 - Hao Yang, Haoyang Yu, Danfeng Hong, Zhen Xu, Yulei Wang, Meiping Song:
Hyperspectral Image Classification Based on Multi-Level Spectral-Spatial Transformer Network. 1-4 - Roger Birkeland, Simen Berg, Milica Orlandic, Joseph L. Garrett:
On-Board Characterization Of Hyperspectral Image Exposure And Cloud Coverage By Compression Ratio. 1-5 - Jon Álvarez Justo, Milica Orlandic:
Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images. 1-5 - Keisuke Ozawa:
On The Convergence of Linearized ADMM for Separable Reweighted Sparse Hyperspectral Unmixing. 1-5 - Jiahao Qi, Xingyue Liu, Ping Zhong:
Delve Into Hyperspectral Anomaly Detection Via Bayesian Gaussian Tensor Decomposition. 1-5 - Kavach Mishra, Rahul Dev Garg:
Single-Frame Super-Resolution Of Real-World Spaceborne Hyperspectral Data. 1-5 - Rey Ducay, David Messinger:
Hyperspectral-Multispectral Image Fusion Using Nndiffuse: Performance Assessment Using A Pixel Classification Task. 1-5 - Johannes Schmidt, Patrizia Basili, Bernhard Sang, Roger Förstner:
Deep Learning Methane Retrievals Based On Synthetic Data. 1-6 - Mo Zhang, Bruno Ricard:
A New Minimum Volume Based Regularisation for Hyperspectral Image Unmixing. 1-5 - Zohreh Zahiri, Alfredo Lamberti, Jan Wielant, Paul Scheunders:
Characterization Of Corrosion Products On Carbon Steel Using Hyperspectral Imaging In Short-Wave Infrared (SWIR). 1-4 - Marco Diani, Nicola Acito, Michael Alibani, Giovanni Corsini:
Defective Pixel Detection And Correction In Prisma Hyperspectral Data. 1-5 - Vittoria Bruni, Giuseppina Monteverde, Domenico Vitulano:
An Entropy-Based Speed Up For Hyperspectral Data Classification Via CNN. 1-5 - Kinan Abbas, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Filtering-Based Endmember Identification Method For Snapshot Spectral Images. 1-5 - Xinyuan Zhang, Zhongqiu Cui, Zhijie Shen, Wei Wang, Di Jiang, Dalong Zhang, Teng Wang:
A Low-Cost Miniature Multispectral Image Sensor And Its Applications In Consumer Electronics. 1-4 - Haonan Wu, Zhao Chen:
Self-Supervised Confident Learning For Hyperspectral Image Change Detection. 1-4 - Rohan Zeng, Eric J. Hochberg, Alberto Candela, David S. Wettergreen:
Spectral Unmixing And Mapping Of Coral Reef Benthic Cover With Deep Learning. 1-5 - Sadia Alam Shammi, Qian Du:
Hyperspectral Image Change Detection Using Deep Learning And Band Expansion. 1-5 - Nathaniel Hanson, Tarik Kelestemur, Joseph Berman, Dominik Ritzenhoff, Taskin Padir:
Hyperbot-A Benchmarking Testbed For Acquisition Of Robot-Centric Hyperspectral Scene And In-Hand Object Data. 1-5 - Adriënne E. Oudijk, Oliver K. Hasler, Henning Øveraas, Sabine Marty, David R. Williamson, Thea Svendsen, Simen Berg, Roger Birkeland, Daniel Halvorsen, Sivert Bakken, Marie Bøe Henriksen, Morten Omholt Alver, Geir Johnsen, Tor Arne Johansen, Annette Stahl, Pål Kvaløy, Alberto Dallolio, Sanna Majaneva, Glaucia Fragoso, Joseph L. Garrett:
Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters. 1-5 - Sabrina Verga, Michele Compare, Enrico Zio, Guglielmo Carra, Marco Farina, Ilaria Righetto, Vittorio Sala:
Estimation Of The Lower Heating Value Of Solid Recovered Fuel Based On Swir Hyper-Spectral Images And Machine Learning. 1-5 - Jonathan Monsalve, Miguel Marquez, Karen Sanchez, Carlos Hinojosa, Iñaki Esnaola, Henry Arguello:
Cocosvi: Single Snapshot Compressive Spectral Video Via Covariance Matrix Estimation. 1-6 - Po-Wei Tang, Chia-Hsiang Lin:
Hyperspectral Dehazing Using Admm-Adam Theory. 1-5 - Silvia Serranti, Sergio Malinconico, Ivano Lonigro, Riccardo Gasbarrone, Giuseppe Bonifazi, Sergio Bellagamba:
Chrysotile Detection In Soils With Proximal Hyperspectral Sensing And Chemometrics. 1-4 - Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, Trung-Kien Tran:
Deepsen3: Deep Multi-Scale Learning Model For Spatial-Spectral Fusion Of Sentinel-2 And Sentinel-3 Remote Sensing Images. 1-5 - Kangning Cui, Seda Camalan, Ruoning Li, Victor Paúl Pauca, Sarra Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan:
Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests. 1-5
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