Research on a SAR Image Matching Method Based on Improved SIFT Algorithm
Ke Zhang · Computer and Modernization · 2013
In order to improve the stability and rapidity of synthetic aperture radar(SAR) images matching,an improved SIFT algorithm is proposed.At first,using the Canny edge detection algorithm instead of the original algorithm extracts feature points to optimize the main direction of the SIFT feature vectors,for the problem of speckle noise of SAR images,using a threshold adaptive Contourlet transform to suppress noise and then using the improved principal component analysis(PCA) algorithm to reduce dimensions of features extracted before.Compared with the existing method,the improved SIFT algorithm not only maintains the richness of characteristics but also greatly simplifies the computational complexity and improvs the speed of operation.Experiments shows that the improved SIFT algorithm is able to overcome variations of the scale,rotation and resolution to match two images with faster speed and higher accuracy.