北京测绘2025，Vol.39Issue(11)：1561-1566,6.DOI:10.19580/j.cnki.1007-3000.2025.11.001
基于LiDAR点云的电力线提取与三维重建
Power line extraction and 3D reconstruction based on LiDAR point cloud
摘要
Abstract
To enhance the efficiency and accuracy of power line corridor inspection,research on automatic power line identi-fication and extraction technologies is of great importance.This paper proposed a method for automatic power line extraction and three-dimensional(3D)modeling based on airborne light detection and ranging(LiDAR)point cloud data.Firstly,an improved elevation filtering algorithm,combined with spatial segmentation and point cloud density analysis,was utilized to perform rough extraction of power lines.Secondly,an optimized algorithm that integrates the mean tilt angle of the point cloud with statistical filtering was introduced to complete the fine extraction of power line point clouds.Finally,a Euclidean distance segmentation algorithm was adopted to detect individual power lines,and a quadratic polynomial-constrained least square fitting method was employed to construct high-precision power line curve models.Experimental results from airborne LiDAR point cloud measurements show that the method achieves an extraction accuracy of over 98%,with straight-line model errors less than 5 cm and curve model errors controlled within 3 cm.This verifies the reliability and practicality of the method,providing effective technical support for power line corridor inspection.关键词
机载激光雷达(LiDAR)/电力线提取/点云密度/欧氏距离分割Key words
airborne light detection and ranging(LiDAR)/power line extraction/point cloud density/Euclidean distance segmentation分类
天文与地球科学引用本文复制引用
钟志平..基于LiDAR点云的电力线提取与三维重建[J].北京测绘,2025,39(11):1561-1566,6.基金项目
江西省自然科学基金(20232BAB203062) （20232BAB203062）
