An Approach Research to Segmentation of the SAR Image Based on the Markov Random Field

摘要：

Markov random field method is a very active research field in image segmentation. In this paper, a new approach to the segmentation of SAR target chip image based on the Markov random field (MRF) and Maximum a Posteriori (MAP) rule is proposed. By statistical analysis of the different regions in the SAR target chip image, the valid segmentation algorithm for choosing the iteration initial value is obtained. Compared with other segmentation algorithms such as Simulate Annealing algorithm and the Iterative Conditional Model (ICM) algorithm by the synthetic image and operational SAR image, the proposed approach in the paper can accelerate the convergence speed, reduce the iterative numbers and improve the segmentation speed.

作者: Wang Ling Lu Gui Zhen Guan Ya Lin

作者单位: Information Engineering School Communication University of China Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Microwave and Millimeter Wave Technology(2010国际微波与毫米波技术会议 ICMMT2010)

会议地点: 成都

会议语种:英文

页码: 1420-1423

在线出版日期: 2010-05-08（万方平台首次上网日期，不代表论文的发表时间）