Segmentation of high-resolution SAR image with unknown number of classes based on regular tessellation and RJMCMC algorithm
文献类型：期刊论文
| 作者 | Wang, Yu1; Li, Yu1; Zhao, Quanhua1 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 36期号:5页码:653-679 |
| 通讯作者 | Li, Y (reprint author), Liaoning Tech Univ, Sch Geomat, Inst Remote Sensing Sci & Applicat, Fuxing 123000, Liaoning, Peoples R China. |
| 英文摘要 | This article presents a statistics- and region-based approach to segmentation of synthetic aperture radar (SAR) images. The proposed approach can automatically determine the number of classes and segment the image simultaneously. First of all, an image domain is partitioned into a set of blocks by regular tessellation and the image is modelled on the assumption that intensities of its pixels in each homogeneous region satisfy an identical and independent gamma distribution. The Bayesian paradigm is followed to build an image segmentation model. Then, a Reversible Jump Markov Chain Monte Carlo scheme is designed to simulate the segmentation model, which determines the number of classes and segments the image roughly. Furthermore, in order to improve the accuracy of the segmentation results, refined operation is performed. The results obtained from both real and simulated SAR images show that the proposed approach works well and efficient. |
| 研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000350352600004 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38519]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Wang, Yu 2.Li, Yu 3.Zhao, Quanhua] Liaoning Tech Univ, Sch Geomat, Inst Remote Sensing Sci & Applicat, Fuxing 123000, Liaoning, Peoples R China 4.[Wang, Yu 5.Li, Yu 6.Zhao, Quanhua] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Ctr Earth Observat & Digital Earth, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yu,Li, Yu,Zhao, Quanhua. Segmentation of high-resolution SAR image with unknown number of classes based on regular tessellation and RJMCMC algorithm[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2015,36(5):653-679. |
| APA | Wang, Yu,Li, Yu,&Zhao, Quanhua.(2015).Segmentation of high-resolution SAR image with unknown number of classes based on regular tessellation and RJMCMC algorithm.INTERNATIONAL JOURNAL OF REMOTE SENSING,36(5),653-679. |
| MLA | Wang, Yu,et al."Segmentation of high-resolution SAR image with unknown number of classes based on regular tessellation and RJMCMC algorithm".INTERNATIONAL JOURNAL OF REMOTE SENSING 36.5(2015):653-679. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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