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

作　　者：胡开洋 HU Kaiyang(The 1st Military Delegate Office of Naval Equipment Department in Shanghai,Shanghai,202150,China)

机构地区：[1]海军装备部驻上海地区第一军事代表室,上海202150

出　　处：《集成电路应用》2022年第11期14-16,共3页Application of IC

摘　　要：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.

关 键 词：SAR图像分割 超像素 对称散度 SLIC 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]