中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Remote sensing image segmentation based on Dynamic Statistical Region Merging

文献类型:期刊论文

作者Huang, Zhijian (1) ; Zhang, Jinfang (2) ; Li, Xiang (1) ; Zhang, Hui (2)
刊名Optik
出版日期2014
卷号125期号:2页码:870-875
关键词Statistical Region Merging Multi-scale segmentation Remote sensing image Region growing
ISSN号304026
通讯作者Huang, Z.(zhijian07@iscas.ac.cn)
中文摘要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.
英文摘要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.
收录类别SCI ; EI
语种英语
WOS记录号WOS:000329256800056
公开日期2014-12-16
源URL[http://ir.iscas.ac.cn/handle/311060/16888]  
专题软件研究所_软件所图书馆_期刊论文
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 .(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.

入库方式: OAI收割

来源:软件研究所

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