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	Unsupervised Object-Based Change Detection via a Weibull Mixture Model-Based Binarization for High-Resolution Remote Sensing Images
	Wu, Tianjun; Luo, Jiancheng; Fang, Jianwu; Ma, Jianghong; Song, Xueli
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2018
卷号	15页码:63-67
关键词	Weibull mixture model (WMM) genetic algorithm (GA) Binarization unsupervised object-based change detection (UOBCD)
ISSN号	1545-598X
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2920864
专题	西安交通大学
推荐引用方式 GB/T 7714	Wu, Tianjun,Luo, Jiancheng,Fang, Jianwu,et al. Unsupervised Object-Based Change Detection via a Weibull Mixture Model-Based Binarization for High-Resolution Remote Sensing Images[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2018,15:63-67.
APA	Wu, Tianjun,Luo, Jiancheng,Fang, Jianwu,Ma, Jianghong,&Song, Xueli.(2018).Unsupervised Object-Based Change Detection via a Weibull Mixture Model-Based Binarization for High-Resolution Remote Sensing Images.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,15,63-67.
MLA	Wu, Tianjun,et al."Unsupervised Object-Based Change Detection via a Weibull Mixture Model-Based Binarization for High-Resolution Remote Sensing Images".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 15(2018):63-67.

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