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	Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging
	Zabalza, Jaime; Ren, Jinchang; Zheng, Jiangbin; Han, Junwei; Zhao, Huimin; Li, Shutao; Marshall, Stephen
刊名	IEEE Transactions on Geoscience and Remote Sensing
	2015
卷号	Vol.53 No.8页码:4418-4433
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/6093278
专题	湖南大学
作者单位	1.) Centre for Excellence in Signal and Image Processing , Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow 2.1XW, United Kingdom 3.School of Computer Software and Microelectronics, Northwestern Polytechnical University, Xi'an 4.710072, China 5.School of Automation, Northwestern Polytechnical University, Xi'an 6.School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou 7.510665, China 8.College of Electrical and Information Engineering, Hunan University, Changsha 9.410082, China
推荐引用方式 GB/T 7714	Zabalza, Jaime,Ren, Jinchang,Zheng, Jiangbin,et al. Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging[J]. IEEE Transactions on Geoscience and Remote Sensing,2015,Vol.53 No.8:4418-4433.
APA	Zabalza, Jaime.,Ren, Jinchang.,Zheng, Jiangbin.,Han, Junwei.,Zhao, Huimin.,...&Marshall, Stephen.(2015).Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging.IEEE Transactions on Geoscience and Remote Sensing,Vol.53 No.8,4418-4433.
MLA	Zabalza, Jaime,et al."Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging".IEEE Transactions on Geoscience and Remote Sensing Vol.53 No.8(2015):4418-4433.

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