Institutional Repository
| 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 | |
| Source | Optik
 |
| ISSN | 304026 |
| Volume | 125Issue:2Pages:870-875 |
| English Abstract | 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. |
| Indexed Type | SCI ; EI |
| Keyword | Statistical Region Merging Multi-scale Segmentation Remote Sensing Image Region Growing |
| Department | (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 |
| Language | 英语 |
| WOS ID | WOS:000329256800056 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16888 |
| Collection | 中国科学院软件研究所 |
| Corresponding Author | Huang, Z.(zhijian07@iscas.ac.cn) |
| Recommended Citation 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. |
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