2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title FR1.R12: Unmixing and Anomaly Detection
Presentation Mode Virtual
Session Time Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsQian Du, Mississippi State University and Daniele Cerra, German Aerospace Center (DLR)
FR1.R12.1: CAUCHY NMF FOR HYPERSPECTRAL UNMIXING
         Jiangtao Peng; Hubei University
         Fan Jiang; Hubei University
         Weiwei Sun; Ningbo University
         Yicong Zhou; University of Macau
FR1.R12.2: SEMI-AUTOMATIC FULLY SPARSE SEMANTIC MODELING FRAMEWORK FOR HYPERSPECTRAL UNMIXING
         Linlin Wang; China University of Geosciences
         Qiqi Zhu; China University of Geosciences
         Wen Zeng; China University of Geosciences
         Yanfei Zhong; Wuhan University
         Qingfeng Guan; China University of Geosciences
         Liangpei Zhang; Wuhan University
         Deren Li; Wuhan University
FR1.R12.3: SUPERPIXEL-BASED SPATIAL CONSTRAINTS SPARSE UNMIXING FOR HYPERSPECTRAL REMOTE SENSING IMAGERY
         Hao Li; China University of Geosciences (Wuhan)
         Ruyi Feng; China University of Geosciences (Wuhan)
         Lizhe Wang; China University of Geosciences (Wuhan)
         Yanfei Zhong; Wuhan University
         Liangpei Zhang; Wuhan University
FR1.R12.4: SPATIAL-SPECTRAL AUTOENCODER NETWORKS FOR HYPERSPECTRAL UNMIXING
         Yongfa Huang; Xidian University
         Jie Li; Xidian University
         Lin Qi; Xidian University
         Ying Wang; Xidian University
         Xinbo Gao; Xidian University
FR1.R12.5: SEMI-SUPERVISED HYPERSPECTRAL UNMIXING WITH VERY DEEP CONVOLUTIONAL NEURAL NETWORKS
         Jiayu Bai; China University of Geosciences
         Ruyi Feng; China University of Geosciences
         Lizhe Wang; China University of Geosciences
         Hao Li; China University of Geosciences
         Fengpeng Li; China University of Geosciences
         Yanfei Zhong; Wuhan University
         Liangpei Zhang; Wuhan University
FR1.R12.6: HYPERSPECTRAL NONLINEAR UNMIXING VIA GENERATIVE ADVERSARIAL NETWORK
         Maofeng Tang; University of Tennessee
         Ying Qu; University of Tennessee
         Hairong Qi; University of Tennessee
FR1.R12.7: IMPROVING THE CLASSIFICATION IN SHADOWED AREAS USING NONLINEAR SPECTRAL UNMIXING
         Guichen Zhang; German Aerospace Center
         Daniele Cerra; German Aerospace Center
         Rupert Mueller; German Aerospace Center
FR1.R12.8: A BACKGROUND REFINEMENT COLLABORATIVE REPRESENTATION METHOD WITH SALIENCY WEIGHT FOR HYPERSPECTRAL ANOMALY DETECTION
         Zengfu Hou; Beijing Institute of Technology
         Wei Li; Beijing Institute of Technology
         Lianru Gao; Chinese Academy of Sciences
         Bing Zhang; Chinese Academy of Sciences
         Pengge Ma; Zhengzhou University of Aeronautics
         Junling Sun; Zhengzhou University of Aeronautics
FR1.R12.9: HYPERSPECTRAL ANOMALY DETECTION BASED ON ISOLATION FOREST WITH BAND CLUSTERING
         Yuancheng Huang; Xi'an University of Science and Technology
         Yuanyuan Xue; Xi'an University of Science and Technology
         Yuanchao Su; Xi'an University of Science and Technology
         Shanshan Han; Xi'an University of Science and Technology
FR1.R12.10: DISCRIMINATIVE SEMI-SUPERVISED GENERATIVE ADVERSARIAL NETWORK FOR HYPERSPECTRAL ANOMALY DETECTION
         Tao Jiang; Xidian University
         Weiying Xie; Xidian University
         Yunsong Li; Xidian University
         Qian Du; Mississippi State University
FR1.R12.11: JOINT SPARSE REPRESENTATION AND MULTITASK LEARNING FOR HYPERSPECTRAL ANOMALY DETECTION
         Yuxiang Zhang; Institute of Geophysics and Geomatics, China University of Geosciences
         Kai He; Institute of Geophysics and Geomatics, China University of Geosciences
         Yanni Dong; Institute of Geophysics and Geomatics, China University of Geosciences
         Ke Wu; Institute of Geophysics and Geomatics, China University of Geosciences
         Tao Chen; Institute of Geophysics and Geomatics, China University of Geosciences