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Paper Title |
SEMI-AUTOMATIC FULLY SPARSE SEMANTIC MODELING FRAMEWORK FOR HYPERSPECTRAL UNMIXING |
Paper Identifier | FR1.R12.2 |
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Authors |
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 |
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)
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Presentation Time [This Paper Only] |
Fri, 02 Oct, 12:10 - 12:20 UTC
Fri, 02 Oct, 20:10 - 20:20 China Standard Time (UTC +8)
Fri, 02 Oct, 14:10 - 14:20 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:10 - 05:20 Pacific Daylight Time (UTC -7)
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Presentation Mode |
Virtual
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Topic |
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Target Detection and Unmixing
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