Optical Image and SAR Image Matching Based on Scattered Edge Feature

In this paper, we propose a novel algorithm for matching optical image to synthetic aperture radar (SAR) image based on scattered edge feature using relaxation Hausdorff distance combined with genetic algorithm. A method is presented to extract scattered edge feature from low signal to noise ratio (SNR) SAR image via statistical and ratio model. Based on the scattered edge image from SAR and optical image, relaxation Hausdorff distance is adopted as a similarity measure because it is insensitive to noise. Genetic algorithm is used as searching strategy to achieve high computation speed for its intrinsic parallelism. Experimental results using real SAR and optical images demonstrate that the algorithm is feasible, and can achieve high matching accuracy.