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	Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
	Nanjun He; Mercedes E. Paoletti; Juan Mario Haut; Leyuan Fang; Shutao Li; Antonio Plaza; Javier Plaza
刊名	IEEE Transactions on Geoscience and Remote Sensing
	2019
卷号	Vol.57 No.2页码:755-769
关键词	Feature extraction Hyperspectral imaging Training Convolutional neural networks Electronic mail Computational modeling Data augmentation deep convolutional neural networks (CNNs) hyperspectral image (HIS) classification multiscale covariance maps (MCMs)
ISSN号	0196-2892;1558-0644
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/4610504
专题	湖南大学
作者单位	1.College of Electrical and Information Engineering, Hunan University, Changsha, China 2.Department of Technology of Computers and Communications, Hyperspectral Computing Laboratory, Escuela Politécnica, University of Extremadura, Cáceres, Spain
推荐引用方式 GB/T 7714	Nanjun He,Mercedes E. Paoletti,Juan Mario Haut,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	Nanjun He.,Mercedes E. Paoletti.,Juan Mario Haut.,Leyuan Fang.,Shutao Li.,...&Javier Plaza.(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	Nanjun He,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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