IEEE IGARSS 2020 || Virtual Symposium || September 26 - October 2, 2020

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

Session:

Unmixing and Anomaly Detection

Track:

Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:

Fri, 2 Oct, 12:10-12:20 (UTC)
Fri, 2 Oct, 20:10-20:20 China Standard Time (UTC +8)
Fri, 2 Oct, 14:10-14:20 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 05:10-05:20 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