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	A Novel Method of Change Detection in Bi-Temporal PolSAR Data Using a Joint-Classification Classifier Based on a Similarity Measure
	Zhao, Jinqi; Yang, Jie; Lu, Zhong; Li, Pingxiang; Liu, Wensong; Yang, Le
刊名	REMOTE SENSING
	2017
卷号	9期号:8
关键词	change detection joint-classification classifier similarity measure test statistic Kittler and Illingworth (K & I) threshold segmentation PolSAR
ISSN号	2072-4292
DOI	10.3390/rs9080846
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4103342
专题	武汉大学
推荐引用方式 GB/T 7714	Zhao, Jinqi,Yang, Jie,Lu, Zhong,et al. A Novel Method of Change Detection in Bi-Temporal PolSAR Data Using a Joint-Classification Classifier Based on a Similarity Measure[J]. REMOTE SENSING,2017,9(8).
APA	Zhao, Jinqi,Yang, Jie,Lu, Zhong,Li, Pingxiang,Liu, Wensong,&Yang, Le.(2017).A Novel Method of Change Detection in Bi-Temporal PolSAR Data Using a Joint-Classification Classifier Based on a Similarity Measure.REMOTE SENSING,9(8).
MLA	Zhao, Jinqi,et al."A Novel Method of Change Detection in Bi-Temporal PolSAR Data Using a Joint-Classification Classifier Based on a Similarity Measure".REMOTE SENSING 9.8(2017).

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