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	A robust PCA approach with noise structure learning and spatial-spectral low-rank modeling for hyperspectral image restoration
	Cao, Wenfei; Wang, Kaidong; Han, Guodong; Yao, Jing; Cichocki, Andrzej
刊名	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
	2018
卷号	11页码:3863-3879
关键词	Expectation-maximization algorithms low rank Mixed noise Non-local regularization sparsity Total variation
ISSN号	1939-1404
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2922562
专题	西安交通大学
推荐引用方式 GB/T 7714	Cao, Wenfei,Wang, Kaidong,Han, Guodong,et al. A robust PCA approach with noise structure learning and spatial-spectral low-rank modeling for hyperspectral image restoration[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11:3863-3879.
APA	Cao, Wenfei,Wang, Kaidong,Han, Guodong,Yao, Jing,&Cichocki, Andrzej.(2018).A robust PCA approach with noise structure learning and spatial-spectral low-rank modeling for hyperspectral image restoration.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,11,3863-3879.
MLA	Cao, Wenfei,et al."A robust PCA approach with noise structure learning and spatial-spectral low-rank modeling for hyperspectral image restoration".IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11(2018):3863-3879.

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