基于边缘信息的SAR与可见光景像匹配算法

SAR(合成孔径雷达 )与可见光图像由于成像机理的不同 ,直接进行基于图像灰度信息的匹配定位很难达到实际应用的要求。边缘是图像最基本的特征之一 ,文中提出一种基于边缘信息的 SAR与可见光景象匹配算法。该算法针对 SAR与可见光图像的特点 ,利用小波变换结合模糊中值加权滤波 ,取得有效的边缘信息 ,利用图像的边缘特征结合相关峰值特性分析的后处理方法进行匹配 ,并采用多分辨率分级搜索技术减少计算量。实验证明本算法匹配精度高 ,稳定性好

SAR to Optical Scene Matching Based on Edge and Contour Information

Scene matching is very important for automated navigate vehicles.It is very difficult to reach the applicable precision if SAR(Synthetic Aperture Radar)and optical images are directly matched based on the intensity information because of the difference of imaging methods.Edge is one of the most fundamental character of a image.In this paper a matching method based on edge and contour information of SAR and optical scene is put forward.Based on the characteristics of SAR and optical images,the new method effectively uses wavelet transform and fuzzy weighted median filter for edge detection and analyzes the feature of the peak on the correlation surface for finding the real match position and uses the technlolgy of multiresolution gradational searching to reduce the complexity of computation.Experimental results show that the matching algorithm is of high precision and stability.