Registration of remote sensing images based on Gaussian fitting

Image registration is one of the critical techniques in multi-sensor image fusion. Classical image registration method using similarity measures can only find Registration Control Point (RCP) on discrete points on images, which makes it difficult to get higher registration precision. This paper presents an image registration method based on Gaussian fitting matching, which takes two dimensional Gaussian fit matching on measurement matrix produced by classical search method of image RCPs. This method has the potential of getting more accurate position of RCPs. Experiment shows that using our method can obtain higher registration accuracy than that of classical method.