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	Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
	He, NJ; Paoletti, ME; Haut, JM; Fang, LY; Li, ST; Plaza, A; Plaza, J
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2019
卷号	Vol.57 No.2页码:755-769
关键词	Data augmentation deep convolutional neural networks (CNNs) hyperspectral image (HIS) classification multiscale covariance maps (MCMs)
ISSN号	0196-2892
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4738704
专题	湖南大学
作者单位	1.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 2.Key Lab Visual Percept & Artificial Intelligence, Changsha 410082, Hunan, Peoples R China 3.Univ Extremadura, Dept Technol Comp & Commun, Escuela Politecn, Hyperspectral Comp Lab, Caceres 1003, Spain
推荐引用方式 GB/T 7714	He, NJ,Paoletti, ME,Haut, JM,et al. Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2019,Vol.57 No.2:755-769.
APA	He, NJ.,Paoletti, ME.,Haut, JM.,Fang, LY.,Li, ST.,...&Plaza, J.(2019).Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,Vol.57 No.2,755-769.
MLA	He, NJ,et al."Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Vol.57 No.2(2019):755-769.

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