SURF Algorithm And Delaunay Triangulation Algorithm Combining Remote Sensing Image Matching Technology Research And Implementation

Remote sensing as a new comprehensive detection technology discipline, has a broadapplication prospect. With the continuous development of remote sensing technology,people get a lot of remote sensing image data, and remote sensing image processing workis very important. Remote sensing image matching is very important in remote sensingimage processing, but due to the remote sensing image in the face of natural scene is morecomplex than ordinary images, so the remote sensing image matching technology has beena difficult problem, it has attracted more and more researchers to the study of remotesensing image matching algorithm, in the process, generates a lot of classic matchingalgorithms, these algorithms have been widely used in many important fields.In this paper, comprehensive utilization of SURF algorithm and Delaunay triangulationalgorithm of their respective advantages, put forward an algorithm will SURF andDelaunay triangulation algorithm with the combination of remote sensing image matchingmethod.The implementation process of this method is that-the first SURF algorithm is utilizedto extract the remote sensing image matching feature points, respectively on two remotesensing images using the discrete pre-matching Delaunay triangulation mesh pointstructure; Then the triangle similarity function is used to calculate for matching betweenthe image and reference image Delaunay triangulation of a triangle, the similarity betweenthe coarse matching; Finally using projective invariants eliminating false matching incoarse matching, with the correct matching points calculated two picture of remote sensingimage space transformation parameters, so as to realize the precision of remote sensing image matching. Based on Matlab2012a platform through the experiments show that thismethod not only solves the matching more errors exist in the SURF algorithm and errormatch point more problems, and inherited the speed advantage of the SURF algorithm,guarantee the matching speed and precision of the remote sensing images.