ing at the problem of high complexity and low processing speed of heterologous image registration algorithms, a fast registration algorithm of visible light and synthetic aperture radar (SAR) images is proposed. In the image preprocessing stage, the redundant information in visible light and SAR images is removed, and two different types of images are filtered respectively with Gauss low-pass filter and non-local mean filter (NLM) algorithms. Then, the multi-scale Harris method is used to detect and extract feature points, and the gradient position orientation histogram (GLOH) method is used to construct descriptors of feature points. Finally, the feature points in the original image are reconstructed based on the feedback mechanism, and the actual position of the feature points to be matched in the original image is got, so as to complete the reconstruction and matching of the feature points in the original image. The experimental results show that compared with scale invariant feature transform-modification (SIFT-M) method, this algorithm significantly reduces the running time while maintaining the average registration accuracy of more than 80%, and has important application value.