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	A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification
	Sun, Weiwei; Yang, Gang; Du, Bo; Zhang, Lefei
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2017
卷号	55期号:7
关键词	Classification dimensionality reduction feature extraction hyperspectral imagery (HSI) sparse and low-rank near-isometric linear embedding (SLRNILE)
ISSN号	0196-2892
DOI	10.1109/TGRS.2017.2686842
URL标识	查看原文
收录类别	SCIE ; ESI高被引论文
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4085272
专题	武汉大学
推荐引用方式 GB/T 7714	Sun, Weiwei,Yang, Gang,Du, Bo,et al. A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2017,55(7).
APA	Sun, Weiwei,Yang, Gang,Du, Bo,&Zhang, Lefei.(2017).A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,55(7).
MLA	Sun, Weiwei,et al."A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 55.7(2017).

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