An Automatic Method for Finding Matches in SAR Images Based on Coarser Scale Bilateral Filtering SIFT
Wang Shan-hu①②③ You Hong-jian①② Fu Kun①②
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ③(Graduate School, Chinese Academy of Sciences, Beijing 100190, China)
Abstract：A novel method based on anisotropic scale space is proposed to find matches in SAR images, which overcomes the disadvantages of SIFT. First, the anisotropic scale space of the image is constructed using bilateral filters, which removes the speckle while preserving the detailed. Then features are detected and described using SIFT at coarser scales, which reduces the impact of speckles. Finally, matches are found by dual matching strategy, which increases the probability of correct matching. This method increases the number of correct matches while maintaining the accuracy. Through various experiments including slant range images acquired from different times, polarizations, wavelengths and viewpoints, it demonstrates the improvement over SIFT in term of the amount and accuracy of the matches.
王山虎, 尤红建, 付琨. 基于大尺度双边SIFT的SAR图像同名点自动提取方法[J]. 电子与信息学报, 2012, 34(2): 287-293.
Wang Shan-Hu, You Hong-Jian, Fu Kun. An Automatic Method for Finding Matches in SAR Images Based on Coarser Scale Bilateral Filtering SIFT. , 2012, 34(2): 287-293.
2012, Vol. 34 
