机载点云空洞的修复方法  

Airborne Point Cloud Hole Repair Algorithm

作　　者：孙国强 嵇卉 庞岩 SUN Guoqiang;JI Hui;PANG Yan(College of Geomatics, Shandong University of Science and Techonlogy, Qingdao Shangdong 266590, China)

机构地区：[1]山东科技大学测绘科学与工程学院

出　　处：《北京测绘》2020年第2期185-189,共5页Beijing Surveying and Mapping

摘　　要：为了有效修补由于遮挡造成的空洞,提出了将机载点云与车载点云融合,通过对空洞部分进行探测,选择对应的车载数据进行填充,充分利用车载点云和机载点云的优势进行互补。对于两种方式都没有扫到的空洞,通过确定收缩方向和收缩距离构造收缩环,根据给定的三角面片添加规则在边界环和收缩环之间添加新的三角面片,不断迭代,直到达到收缩距离阈值,停止收缩,填充完整。实验结果表明,该方法修复效果良好。In order to effectively repair the void caused by occlusion,it is proposed to fuse the airborne point cloud with the vehicle point cloud,and to detect the cavity part,select the corresponding vehicle data for filling,and fully utilize the advantages of the vehicle point cloud and the airborne point cloud.Complement each other.For the voids that are not swept in either way,the shrink ring is constructed by determining the shrinking direction and the shrinking distance.Adding a new triangular patch between the boundary ring and the shrink ring in a given triangle patch addition rule,iteratively continues until The shrinkage distance threshold is reached,the shrinkage stops,and the fill is complete.The experimental results show that the method has a good repair effect.

关 键 词：空洞修复 数据融合 边界收缩 三角面片 

分 类 号：P237[天文地球—摄影测量与遥感]