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

FR1.R12.11

JOINT SPARSE REPRESENTATION AND MULTITASK LEARNING FOR HYPERSPECTRAL ANOMALY DETECTION

Yuxiang Zhang, Kai He, Yanni Dong, Ke Wu, Tao Chen, Institute of Geophysics and Geomatics, China University of Geosciences, China
Session:
Unmixing and Anomaly Detection
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 2 Oct, 13:40-13:50 (UTC)
Fri, 2 Oct, 21:40-21:50 China Standard Time (UTC +8)
Fri, 2 Oct, 15:40-15:50 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 06:40-06:50 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Qian Du, Mississippi State University and Daniele Cerra, German Aerospace Center (DLR)
Session Managers:
Abinash Silwal and Rosa Correa Pabón

Presentation

Discussion

Resources

Session

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