A Novel SAR Image Matching Algorithm Based on Support Feature Point
Cheng Hui, Dajiang Shen, Daiqiang Peng, Qiuze Yu · 2006
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