Due to the large resolution difference between the three-dimensional laser imaging sensor and visible imaging sensor,mismatching feature points are numerous.In order to solve this problem,a registration method of high-low resolution images based on improved SURF is proposed.Firstly,low-resolution image is processed through bilinear interpolation.Subsequently,SURF feature′s coarse matching is completed by using the nearest neighbor vector based on the classical SURF.The matching is further optimized according to feature shift coherence rule.Finally,affine relationship between the images is obtained by using SANSAC and least square method.The registration image is obtained by interpolation based on affine transform parameters.The experiment shows that the proposed registration method can keep the registration speed,structural similarity measure index is increased by about 11%,and meanwhile the accuracy of registration is further improved.