基于机载LiDAR点云的电力线提取与三维重建

Power line extraction and 3D reconstruction based on airborne LiDAR point cloud

为了解决地形复杂、点云密度不均匀的输电线机载激光雷达(LiDAR)点云电力线提取精度低的问题,本文根据电力线点的空间分布特征设计与实现了一套电力线提取与三维重建方法。首先,使用改进曲面拟合滤波算法与形态学开运算实现地面点、低矮植被点等的滤除;其次,以滤波处理得到点云数据为数据源,利用电力线点维度特征实现电力线点粗提取并利用密度聚类算法进行单根电力线精提取;最后,基于单根电力线提取结果进行电力线三维重建。为了对本文提出电力线提取与重建方法进行检验,使用宁波市某高压交流输变电工程中部分实测机载LiDAR点云数据进行实验,结果表明,本文方法提取28根电力线结果误差率均在0.04%以内,验证了本文方法的可靠性与实用性。

In order to solve the problem of low accuracy of power line extraction from light detection and ranging(LiDAR)point cloud on transmission lines with complex terrain and uneven point cloud density,this paper designed and implemented a set of power line extraction and three-dimensional reconstruction methods according to the spatial distribution characteristics of power line points.Firstly,an improved surface fitting filtering algorithm and morphological open operation were applied to filter the ground points and low vegetation points.Secondly,the point cloud data obtained by filtering was explored as the data source,and the power line point dimension features were used to realize the rough extraction of power line points,and the density clustering algorithm was explored to extract the single power line accurately.Finally,the power line 3D reconstruction was carried out based on the single power line extraction results.In order to test the power line extraction and reconstruction method proposed in this paper,some airborne LiDAR point cloud data measured in a high voltage AC power transmission and transformation project in Ningbo were used for the experiment.The results show that the error rate of 28 power lines extracted by this method was within 0.04%,which verifies the reliability and practicability of this method.