基于无人机激光雷达的地表变形监测
Research on Surface Deformation Monitoring Based on the UAV Lidar
江吉平1
作者信息
- 1. 广州市四维城科信息工程有限公司东莞第一分公司 广东广州 523040
- 折叠
摘要
主要探讨了M2M、C2M、P2P这3种传统点云面域沉降监测的原理及其优缺点,并详细阐述了顾及最优步长的垂直形变监测算法的原理和流程;在不同点云密度下,开展了网格步长和非地面点对3种方法垂直变形监测精度影响的研究;当点云密度为5时,进行不同方法点云监测精度的对比分析;最后利用顾及最优步长的垂直形变监测算法对矿区垂直形变进行了计算.
Abstract
This article mainly explores the principles of the three traditional point cloud region settlement monitor-ing methods of M2M,C2M and P2P and their advantages and disadvantages,and elaborates on the principle and process of the vertical deformation monitoring algorithm that considers the optimal step size.It studies the influence of the grid step size and non-ground points on the vertical deformation monitoring accuracy of the three methods under different point cloud densities,compares and analyzes the point cloud monitoring accuracy of different meth-ods when the point cloud density is 5,and finally uses the vertical deformation monitoring algorithm that considers the optimal step size to calculate the vertical deformation of the mining area.
关键词
沉降监测/LiDAR点云/正射影像/网格步长Key words
Settlement monitoring/LiDAR point cloud/Orthoimage/Grid spacing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据