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	Unsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field
	Xu, Miaozhong; Cong, Ming; Xie, Tianpeng; Tao, Yiting; Zhu, Xiaoling; Zhao, Jingjing
刊名	GEOCARTO INTERNATIONAL
	2015
卷号	30期号:9
关键词	log-Gabor (LG) filter Markov random field (MRF) model image segmentation
ISSN号	1010-6049
DOI	10.1080/10106049.2015.1006529
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/4108375
专题	武汉大学
推荐引用方式 GB/T 7714	Xu, Miaozhong,Cong, Ming,Xie, Tianpeng,et al. Unsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field[J]. GEOCARTO INTERNATIONAL,2015,30(9).
APA	Xu, Miaozhong,Cong, Ming,Xie, Tianpeng,Tao, Yiting,Zhu, Xiaoling,&Zhao, Jingjing.(2015).Unsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field.GEOCARTO INTERNATIONAL,30(9).
MLA	Xu, Miaozhong,et al."Unsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field".GEOCARTO INTERNATIONAL 30.9(2015).

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