A novel SAR image matching algorithm based on support feature point

In this paper a new image support,feature is defined according to various grey level of image. The comprehensive grey correlation and the feature match method, a novel SAR image fast matching algorithm is proposed based on support feature points. Relaxes Hausdorff distance is adopted as a similarity measure combined with the wavelet decomposition iteration to search the fine strategy, in the wavelet low frequency LL sub- band carries on the image support feature point to extract. According to support feature vector the position in original image, extracts corresponding the grey value, achieves the correlation matching. As a result of support vector sparse and the global Characteristic has realized the matched data effective compression, has guaranteed robust and the fast matching in SAR image.