SAR Image Segmentation by Likelihood Criterion
基于相拟性准则的SAR图像分割方法

In this paper, a kind of SAR image segmentation method based on the criterion of likelihood difference function is proposed. At first, based on the distribution property of SAR image, we get the following conclusions by simulation: After merging of two regions with same distribution, the difference of likelihood is approximately independent of the regional size and regional mean value, and only depends on the look number. On the basis of this conclusion, we simplify the likelihood difference function, and the analytic form of the probability distribution function is obtained. Giving the false alarm probability, we can calculate the threshold which indicates whether the adjacent regions can be merged. Then we construct merging cost according to the likelihood difference function and region shape constrains, and make regions to be merged with order. When there are no regions which can be merged, the final segmentation result is achieved.