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	On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification
	Li, Xue; Zhang, Liangpei; Du, Bo; Zhang, Lefei
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2019
卷号	57期号:6
关键词	Canonical correlation analysis (CCA) classification domain adaptation hyperspectral data latent sparse representation remote sensing transfer learning
ISSN号	0196-2892
DOI	10.1109/TGRS.2018.2882420
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4216323
专题	武汉大学
推荐引用方式 GB/T 7714	Li, Xue,Zhang, Liangpei,Du, Bo,et al. On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2019,57(6).
APA	Li, Xue,Zhang, Liangpei,Du, Bo,&Zhang, Lefei.(2019).On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(6).
MLA	Li, Xue,et al."On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.6(2019).

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