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International Journal of Remote Sensing Volume 38, 2017 - Issue 14
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Articles

A spectral-spatial method based on low-rank and sparse matrix decomposition for hyperspectral anomaly detection

Lili ZhangDepartment of Signal and Information Processing, Harbin Engineering University, College of Information and Communication Engineering, Harbin, China;Department of Electronic Information Engineering, Daqing Normal University, College of Mechanical and Electrical Engineering, Daqing, ChinaView further author information
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Chunhui ZhaoDepartment of Signal and Information Processing, Harbin Engineering University, College of Information and Communication Engineering, Harbin, ChinaCorrespondence[email protected]
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Pages 4047-4068 | Received 28 Sep 2016, Accepted 23 Mar 2017, Published online: 09 Apr 2017

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