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	Spectral-spatial classification of hyperspectral images using deep convolutional neural networks
	Yue, Jun ; Zhao, Wenzhi ; Mao, Shanjun ; Liu, Hui
刊名	REMOTE SENSING LETTERS
	2015
关键词	REPRESENTATION
DOI	10.1080/2150704X.2015.1047045
英文摘要	In this letter, a novel deep learning framework for hyperspectral image classification using both spectral and spatial features is presented. The framework is a hybrid of principal component analysis, deep convolutional neural networks (DCNNs) and logistic regression (LR). The DCNNs for hierarchically extract deep features is introduced into hyperspectral image classification for the first time. The proposed technique consists of two steps. First, feature map generation algorithm is presented to generate the spectral and spatial feature maps. Second, the DCNNs-LR classifier is trained to get useful high-level features and to fine-tune the whole model. Comparative experiments conducted over widely used hyperspectral data indicate that DCNNs-LR classifier built in this proposed deep learning framework provides better classification accuracy than previous hyperspectral classification methods.; National High-tech R&D Program of China [863 program] [2012AA121403]; Mega-projects of Science Research for the 12th Five-year Plan [2011ZX05040-005]; SCI(E); EI; ARTICLE; jyue@pku.edu.cn; 6; 468-477; 6
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/419528]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Yue, Jun,Zhao, Wenzhi,Mao, Shanjun,et al. Spectral-spatial classification of hyperspectral images using deep convolutional neural networks[J]. REMOTE SENSING LETTERS,2015.
APA	Yue, Jun,Zhao, Wenzhi,Mao, Shanjun,&Liu, Hui.(2015).Spectral-spatial classification of hyperspectral images using deep convolutional neural networks.REMOTE SENSING LETTERS.
MLA	Yue, Jun,et al."Spectral-spatial classification of hyperspectral images using deep convolutional neural networks".REMOTE SENSING LETTERS (2015).

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