针对树木等遮挡造成的车载LiDAR建筑物立面点云空洞,该文提出了一种基于机载和车载LiDAR数据融合的建筑物点云修复方法,即在空-地LiDAR点云融合的基础上,基于提取的机载LiDAR建筑物外轮廓线,通过缓冲区分析实现车载LiDAR建筑物点云分割;借助轮廓线信息实现了邻近建筑物间的相似性判断,基于匹配后的相似建筑物点云和空洞探测方法,实现了建筑物立面点云空洞修复。最后通过实验数据验证了该方法的可行性。 In view of the point clouds of the vehicle LiDAR building caused by the blockage of trees and the like, a point cloud repair method based on airborne and vehicle LiDAR data fusion is proposed. That is, based on the fusion of the air-ground LiDAR point cloud Based on the outline of the extracted airborne LiDAR buildings, the point cloud segmentation of vehicle-borne LiDAR buildings is realized by buffer analysis. The similarities between adjacent buildings are determined by using the contour information. Based on the matched point cloud of similar buildings, And hole detection methods, to achieve the building facade point cloud hole repair. Finally, the experimental data verify the feasibility of the method.