摘要
基于SAR图像的杂波统计特性,采用信息论中的交叉熵给出了一种提取多时相SAR图像差异的方法。采用瑞利分布函数作为SAR图像的分布模型,基于交叉熵导出了计算两幅SAR图像的差异因子;并采用恒虚警率(CFAR)的方法自动分割变化区域,取得了较好的结果。
A new method to detect the change of two SAR images using cross entropy based on the statistical character of SAR cluster is proposed. Rayleight distribution model is used to describe the SAR cluster, and the different index of two images is derived using Kullback- Leibler divergence in detail. Constant false alarm rate is also introduced to segment the change areas. The method is demonstrated feasible using the RadarSAT SAR image.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2008年第5期454-456,478,共4页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2006AA12Z149)
