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	A Novel Approach Combining KI Criterion and Inverse Gaussian Model to Unsupervised Change Detection in SAR Images
	Zhuang, Huifu; Deng, Kazhong; Yu, Mei; Fan, Hongdong
	2018
卷号	43期号:2页码:282-288
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/4365468
专题	成都理工大学
作者单位	1.[1] Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, 221116, China 2.[2] State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China
推荐引用方式 GB/T 7714	Zhuang, Huifu,Deng, Kazhong,Yu, Mei,et al. A Novel Approach Combining KI Criterion and Inverse Gaussian Model to Unsupervised Change Detection in SAR Images[J],2018,43(2):282-288.
APA	Zhuang, Huifu,Deng, Kazhong,Yu, Mei,&Fan, Hongdong.(2018).A Novel Approach Combining KI Criterion and Inverse Gaussian Model to Unsupervised Change Detection in SAR Images.,43(2),282-288.
MLA	Zhuang, Huifu,et al."A Novel Approach Combining KI Criterion and Inverse Gaussian Model to Unsupervised Change Detection in SAR Images".43.2(2018):282-288.

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