A method for accurate extraction of gated electric towers based on airborne laser point cloud

doi:10.13474/j.cnki.11-2246.2022.0216

Abstract

Abstract: With the development of unmanned earial vehicle(UAV) technology, more and more power departments use airborne light detection and ranging(LiDAR) technology and oblique photogrammetry technology to replace the traditional manual method gradually, and carry out power inspection, power component maintenance and other work. As a common high-voltage tower in the power corridor at present, accurate point cloud extraction is an important step in the daily maintenance of the gated electric tower in the unlabeled grid point cloud data. In this paper, starting with the grid point cloud data including the ground, vegetation, power line and portal tower, the point cloud is divided into voxel and voxel grid. In order to remove the ground point and vegetation point, the line elevation is continuous and the elevation threshold is filtered, and the top of the tower is extended to search. Then the horizontal projection straight line of the gated electric tower is obtained by using the characteristics of the horizontal projection of the gated electric tower, and the redundant power line point cloud is removed by using the distance threshold judgment. The method introduced in this paper realizes the accurate extraction of the gated electric tower from the unlabeled grid point cloud data, and provides data basis for further three-dimensional modeling, maintenance and repair of the gated electric tower.

Key words: UAV, power inspection, gated electric tower, voxelization, horizontal projection

CLC Number:

P237

LIU Yuxian, RUAN Minghao, YAN Zhen. A method for accurate extraction of gated electric towers based on airborne laser point cloud[J]. Bulletin of Surveying and Mapping, 2022, 0(7): 129-133.

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