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	An adaptive unimodal subclass decomposition (AUSD) learning system for land use and land cover classification using high-resolution remote sensing
	Han, Min; Zhou, Yang
刊名	GISCIENCE & REMOTE SENSING
	2017
卷号	54页码:20-37
关键词	domain adaptation subclass decomposition land use and land cover classification high-resolution imagery Gaussian mixture model
ISSN号	1548-1603
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3280842
专题	大连理工大学
作者单位	Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian, Peoples R China.
推荐引用方式 GB/T 7714	Han, Min,Zhou, Yang. An adaptive unimodal subclass decomposition (AUSD) learning system for land use and land cover classification using high-resolution remote sensing[J]. GISCIENCE & REMOTE SENSING,2017,54:20-37.
APA	Han, Min,&Zhou, Yang.(2017).An adaptive unimodal subclass decomposition (AUSD) learning system for land use and land cover classification using high-resolution remote sensing.GISCIENCE & REMOTE SENSING,54,20-37.
MLA	Han, Min,et al."An adaptive unimodal subclass decomposition (AUSD) learning system for land use and land cover classification using high-resolution remote sensing".GISCIENCE & REMOTE SENSING 54(2017):20-37.

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