基于分布模型差异的SAR变化检测
SAR Change Detection Based on Cluster Distribution Divergence
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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。Abstract: 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.
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