水力发电学报2024，Vol.43Issue(8)：46-55,10.DOI:10.11660/slfdxb.20240805
堆石坝检测坑点云切片分割提取方法
Point cloud extraction of rockfill dam test pits based on slice segmentation
摘要
Abstract
Detection of compaction quality during rockfill dam construction is an important safeguard for its safe and stable operation,but the traditional irrigation method relies on measuring the detection pit volume that is time-consuming and labor-intensive.Today,the three-dimensional laser scanning technology can be adopted to calculate the detection pit volume quickly and improve the efficiency of compaction quality detection.To ensure the calculation accuracy of this new method,the key link is accurate extraction of the detection pit point cloud data from the scanned data.This paper develops a point cloud extraction method based on point cloud slicing that is able to accurately extract the point cloud on the surface of the inspection pit.First,the point cloud data is sliced;then a one-way search sorting method is used to sort the points of each sliced point set;finally,a cluster segmentation method based on the sorting number of the sliced point set is adopted to segment each slice.We have designed a MATLAB code to realize rapid extraction of the point cloud for a rockfill dam inspection pit based on this new method,and tested it using the point cloud data to verify its effectiveness and accuracy.关键词
三维点云/堆石坝/检测坑/点云切片/点云提取Key words
three-dimensional point cloud/rockfill dam/inspection pit/point cloud slicing/point cloud extraction分类
水利科学引用本文复制引用
纪鹏,吴钰,解佳乐,杨旭,姚强..堆石坝检测坑点云切片分割提取方法[J].水力发电学报,2024,43(8):46-55,10.基金项目
国家重点研发计划项目(2023YFC3008305) （2023YFC3008305）
四川省国际科技合作计划项目(2022YFH0078) （2022YFH0078）
国家自然科学基金项目(51809188) （51809188）
