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	Deformable Convolutional Neural Networks for Hyperspectral Image Classification
	Jian Zhu; Leyuan Fang; Pedram Ghamisi
刊名	IEEE Geoscience and Remote Sensing Letters
	2018
页码	1-5
关键词	Feature extraction Kernel Training Convolutional codes Convolutional neural networks Shape Support vector machines Convolutional neural networks (CNNs) deformable convolution hyperspectral image (HSI) classification spatial-spectral feature extraction.
ISSN号	1545-598X;1558-0571
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/5467003
专题	湖南大学
作者单位	1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China 2.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China 3.German Aerospace Center , Remote Sensing Technology Institute , 82234 Wessling, Germany, and also with the Signal Processing in Earth Observation, Technical University of Munich, 80333 Munich, Germany
推荐引用方式 GB/T 7714	Jian Zhu,Leyuan Fang,Pedram Ghamisi. Deformable Convolutional Neural Networks for Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters,2018:1-5.
APA	Jian Zhu,Leyuan Fang,&Pedram Ghamisi.(2018).Deformable Convolutional Neural Networks for Hyperspectral Image Classification.IEEE Geoscience and Remote Sensing Letters,1-5.
MLA	Jian Zhu,et al."Deformable Convolutional Neural Networks for Hyperspectral Image Classification".IEEE Geoscience and Remote Sensing Letters (2018):1-5.

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