摘要
提出了一种利用级联滤波和松弛法的SAR图像配准方法。首先利用基于Beltrami流的偏微分方程与增强Lee滤波的级联滤波算法去除SAR图像噪声,然后对滤波后的参考图像提取边缘,对边缘特征点采用松弛法特征匹配,同时应用金字塔分级匹配策略由粗到精增加匹配的正确性。实验证明,本方法具有较高的配准精度。
A registration method for SAR image based on cascade filter and relaxation optimization algorithm is proposed in this paper.Firstly,the cascade filter method combining partial differential equation（PDE） and enhanced Lee filter is introduced for SAR image speckle reduction.Then edge extraction is done in the filter result of object image.Every feature point of the edges is matched by the relaxation optimization algorithm,a pyramid matching strategy is employed for the accuracy simultaneously.The experiments show that the method can reach a good registration result.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2012年第1期43-45,62,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40930532)
国家973计划资助项目(2011CB707103)
关键词
SAR
级联滤波
松弛法
配准
SAR
cascade filter
relaxation optimization algorithm
registration
