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Paper Title |
A FAST LOW RANK APPROXIMATION AND SPARSITY REPRESENTATION APPROACH TO HYPERSPECTRAL ANOMALY DETECTION |
Paper Identifier | FR1.R14.2 |
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Authors |
Jie Chen, UNIVERSITY OF MARYLAND, Baltimore County, United States; Hongju Cao, Dalian Maritime University, China; Shuhan Chen, Zhejiang University, China; Chein-I Chang, UNIVERSITY OF MARYLAND, Baltimore County, United States |
Session |
Target Detection and Localization |
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): Object Detection and Recognition
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