Power Tower extraction method under complex terrain in mountainous area based on Laser Point Cloud data

Abstract

The accurate extraction and location of pole tower point cloud in massive laser point cloud data of transmission line is the basis of airborne laser LiDAR line inspection application. In view of the current complex mountain terrain pole tower point cloud extraction depends on manual intervention, low accuracy, low efficiency and so on. An automatic extraction method of line tower point cloud based on three-dimensional grid spatial distribution feature is proposed in this paper. Firstly, the three-dimensional grid of the original point cloud of the preprocessed transmission line is divided, and the spatial distribution characteristics of the point cloud in the statistical line corridor are analyzed (point cloud density, elevation histogram, terrain elevation distribution, ground object elevation distribution). In this way, the tower point cloud is extracted, and the least square space line fitting method is used to accurately locate the tower position, so as to realize the automatic extraction and accurate location of the tower point cloud. The extraction algorithm is verified by the transmission line laser point cloud data obtained from the actual inspection of a power grid company, and the integrity of the extracted tower point cloud data is 95%, and the average positioning error of the tower position is 9cm. The experimental results show that the method has good rapidity and accuracy.