A fusion method of laser scanning and image is put forward. In this method, accurate matching point is obtained by stereo image matching firstly, and the adjacent iterative registration is finished with three-dimensional (3D) scanning points. In the searching of K adjacent point by grid partition method, the option iteration of Euclidean distance is used to gradually realize the accurate registration of image points and laser scanning points. Using the space resection for correct elements of exterior orientation, through the collinear relationship of projective center, image point and laser point, pixel location of laser point in the corresponding image is realized, and color attribute information is obtained. The experimental results show that the algorithm not only has a better performance to realize the accurate fusion of 3D surface laser points with CCD image, but also is feasible and effective for the fusion of airborne laser data with image.