Remote sensing image segmentation based on Dynamic Statistical Region Merging

ISCAS OpenIR

	Remote sensing image segmentation based on Dynamic Statistical Region Merging
	Huang, Zhijian (1); Zhang, Jinfang (2); Li, Xiang (1); Zhang, Hui (2); Huang, Z.(zhijian07@iscas.ac.cn)
	2014
发表期刊	Optik
ISSN	304026
卷号	125 期号:2 页码:870-875
摘要	Using the Statistical Region Merging (SRM) for remote sensing image segmentation, we found the result is unsatisfactory. To improve segmentation accuracy and the correctness, this paper proposed a Dynamic Statistical Region Merging (DSRM). It tries to let the most similar regions to be tested first. At first, it redefines the dissimilarity based-on regions. Then, it dynamically updates the dissimilarity and adjusts the test order during the procedure of merging. Experiments demonstrate the accuracy of the DSRM is higher than the SRM and its computational complexity is approximately linear. In addition, we extend the DSRM to multi-band remote sensing image and use it for multi-scale segmentation. © 2013 Elsevier GmbH.; Using the Statistical Region Merging (SRM) for remote sensing image segmentation, we found the result is unsatisfactory. To improve segmentation accuracy and the correctness, this paper proposed a Dynamic Statistical Region Merging (DSRM). It tries to let the most similar regions to be tested first. At first, it redefines the dissimilarity based-on regions. Then, it dynamically updates the dissimilarity and adjusts the test order during the procedure of merging. Experiments demonstrate the accuracy of the DSRM is higher than the SRM and its computational complexity is approximately linear. In addition, we extend the DSRM to multi-band remote sensing image and use it for multi-scale segmentation. © 2013 Elsevier GmbH.
收录类别	SCI ; EI
关键词	Statistical Region Merging Multi-scale Segmentation Remote Sensing Image Region Growing
部门归属	(1) School of Electronic Science and Engineering, National University of Defense Technology, China; (2) Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Science, China
语种	英语
WOS记录号	WOS:000329256800056
引用统计	被引频次：22[WOS] [WOS记录] [WOS相关记录]
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16888
专题	中国科学院软件研究所
通讯作者	Huang, Z.(zhijian07@iscas.ac.cn)
推荐引用方式 GB/T 7714	Huang, Zhijian ,Zhang, Jinfang ,Li, Xiang ,et al. Remote sensing image segmentation based on Dynamic Statistical Region Merging[J]. Optik,2014,125(2):870-875.
APA	Huang, Zhijian ,Zhang, Jinfang ,Li, Xiang ,Zhang, Hui ,&Huang, Z..(2014).Remote sensing image segmentation based on Dynamic Statistical Region Merging.Optik,125(2),870-875.
MLA	Huang, Zhijian ,et al."Remote sensing image segmentation based on Dynamic Statistical Region Merging".Optik 125.2(2014):870-875.