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| 基于扩散方程和MRF的SAR图像分割 | |
| 引用本文： | 贾亚飞, 赵凤军, 禹卫东, 艾加秋. 基于扩散方程和MRF的SAR图像分割[J]. 电子与信息学报, 2011, 33(2): 363-368. doi: 10.3724/SP.J.1146.2010.00342 |
| 作者姓名： | 贾亚飞 赵凤军 禹卫东 艾加秋 |
| 作者单位： | 1. 中国科学院电子学研究所,北京,100190;中国科学院研究生院,北京,100039 2. 中国科学院电子学研究所,北京,100190 |
| 摘 要： | 该文提出了一种基于图像扩散方程和马尔科夫随机场(MRF)的合成孔径雷达(SAR)图像分割方法。在传统MRF算法的基础之中，引入对图像的扩散，用来平滑SAR图像中的噪声，保护图像中的边缘部分，并且加快收敛的速度。首先对输入的SAR图像进行扩散，通过MRF进行统计，得到图像中各点的后验概率，再对得到的后验概率进行扩散。与传统的MRF算法进行比较，该文的方法较好地去除了误分割斑块，减少算法的运行时间。 |
| 关 键 词： | SAR图像分割 偏微分方程 马尔科夫随机场(MRF) 后验概率 |
| 收稿时间： | 2010-04-01 |
| 修稿时间： | 2010-08-02 |
SAR Image Segmentation Based on Diffusion Equations and MRF |
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| Jia Ya-Fei, Zhao Feng-Jun, Yu Wei-Dong, Ai Jia-Qiu. SAR Image Segmentation Based on Diffusion Equations and MRF[J]. Journal of Electronics & Information Technology, 2011, 33(2): 363-368. doi: 10.3724/SP.J.1146.2010.00342 | |
| Authors: | Jia Ya-fei Zhao Feng-jun Yu Wei-dong Ai Jia-qiu |
| Affiliation: | (Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) (Graduate University of the Chinese Academy of Sciences, Beijing 100039, China) |
| Abstract: | A novel image diffusion equations and Markov Random Field (MRF)-based segmentation method for SAR images is proposed. The method involves the image diffusion based on the traditional MRF method. It is used to smooth the noise components in the SAR image, protect the desired object boundaries, and reduce the iterative times. The input SAR image is initially smoothed. Estimates of posterior probabilities are then obtained using MRF. The posterior probability is also smoothed using diffusion. Comparing with the traditional MRF method, this method wipes off the inaccuracy classified blocks, and reduces the cost of time. |
| Keywords: | SAR image segmentation Partial differential equations Markov Random Field (MRF) Posterior probability |
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