基于对称散度的SAR图像超像素分割分析

Analysis of SAR Images Superpixel Segmentation Based on Symmetric Divergence

阐述一种基于对称散度的SAR图像超像素分割算法(SLIC-SDSAR),算法在简单线性迭代聚类(SLIC)的基础之上,根据SAR图像的统计分布特征,构建了基于对称散度和空间位置的距离度量准则,实现了对SAR图像的分割,并对SAR图像斑点噪声有较好的适应性。

A new SAR images super pixel segmentation method(SLIC-SDSAR) is proposed based on symmetric divergence within the framework of simple linear iterative clustering(SLIC). A new distance measurement law is constructed via symmetric divergence and spatial position according to the statistical distribution characteristics of SAR images.