基于免疫算法的SAR图像分割方法研究

Research on Immune Algorithm based Method for SAR Image Segmentation

免疫算法是借鉴生命科学中免疫的概念和理论提出的一种优化算法,它继承了遗传算法的优越性,且避免了优化过程中的退化现象。空间矩阵描述了不同区域间的相邻概率。SAR图像固有的相干斑噪声使对SAR图像处理非常困难。同时,由于SAR图像具有不同区域间对比度较大的特点,因而SAR图像的空间矩阵具有同类区域间相邻概率较大,异类区域间相邻概率较小的特征。该文将SAR图像的空间矩阵的这一特征作为免疫算法中的疫苗,用免疫算法搜索分割结果,并收敛到最优。仿真结果表明,这是一种有效的SAR图像区域分割方法,可以明显抑制噪声对分割结果的影响。

The Immune Algorithm （IA） is proposed with analogies to the concept and the theory of immunity in life science. It inherits the advantages of Genetic Algorithm （GA） and avoi is the deterioration-phenomenon. Spatial matrix describes the probabilities that one area is the neighbor of other areas. Because different areas in SAR images have different textural features and have big contrast, the spatial matrix of SAR image has the character that the probability of the areas of same kind is bigger and the probability of the areas of different kinds is smaller. By using this feature of the spatial matrix of SAR image as the vaccine, this paper employs IA to search the best segmentation-threshold. Simulation results show that this method is effective for SAR image segmentation and the performance of the method is better than the present algorithm.