Research on Stereo Matching for Satellite Generalized Image Pair Based on Improved SURF and RFM

In obtaining Digital Elevation Model (DEM), most methods of acquiring the tie points are generated automatically by software and then manually screened, which is time-consuming and labor-intensive, and the accuracy cannot be guaranteed. Therefore, this paper proposes an automatic stereo matching method combining Speeded Up Robust Features (SURF) and Rational Function Model (RFM) to reconstruct 3D model of remote sensing generalized image pairs. There are two main tasks: first, apply the SURF algorithm to remote sensing images, and screen the tie points at the same name; second, verify the accuracy and effectiveness of the method through experiments.