LiDAR点云的建筑物立面空洞修复

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。

Hole filling of building facade based on LiDAR point cloud

Aiming at the building facade holes of mobile LiDAR point cloud result from trees and other occlusions,an approach for building point cloud repairing based on data fusion of airborne and mobile LiDAR data was proposed.On the basis of the coordinates registration of airborne and mobile LiDAR data,through buffer analysis to segment the building facade point cloud of mobile LiDAR based on the outlines extracted from the airborne LiDAR data.Outline information was used to judge the similarity of adjacent buildings.Basing on the matched point cloud of similar buildings and the hole detection method,the building facade holes were repaired.Finally,the feasibility of the proposed algorithm was proved through experiments.