A Fast Scene Matching Algorithm Based on SAR Images
DU Wen-cha · Radar Science and Technology · 2014
As an important part of the compound guidance,scene matching guidance requires the matching algorithm with low computational burden and high matching accuracy.Focusing on this problem,a new scene matching algorithm based on normalized cross correlation and improved partial Hausdorff distance is proposed.In order to alleviate the computational burden,the image edge is used as feature space,and the original image is decomposed into a series of sub-images by wavelet transform.Therefore,the scene matching is translated into the sub-image matching.Meanwhile,in order to enhance the matching accuracy,the sub-images are matched by normalized cross correlation method coarsely at first,and then the improved partial Hausdorff distance is applied to obtain the final matching point.The experiment result shows that this algorithm owns less computational burden and better matching accuracy compared to the traditional methods.