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Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification.
Nanjun He; Paoletti, Mercedes E.; Haut, Juan Mario; Leyuan Fang; Shutao Li; Plaza, Antonio; Plaza, Javier
刊名IEEE Transactions on Geoscience & 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/4613427
专题湖南大学
作者单位1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
2.Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha 410082, China
3.Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, PC-1003 Cáceres, Spain
4.Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, PC-10003 Cáceres, Spain
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GB/T 7714
Nanjun He,Paoletti, Mercedes E.,Haut, Juan Mario,et al. Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification.[J]. IEEE Transactions on Geoscience & Remote Sensing,2019,Vol.57 No.2:755-769.
APA Nanjun He.,Paoletti, Mercedes E..,Haut, Juan Mario.,Leyuan Fang.,Shutao Li.,...&Plaza, Javier.(2019).Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification..IEEE Transactions on Geoscience & 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 & Remote Sensing Vol.57 No.2(2019):755-769.
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