ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLVIII-1-W2-2023-727-2023 RESEARCH ON POWER TRANSMISSION CHANNEL CHANGE DETECTION BASED ON MULTI-TEMPORAL POINT CLOUD DATA Hu W. 1 Yang G. 1 Liu N. 1 Liu F. 2 Ma C. 1 Tian M. 1 Hao C. 2 State Grid Electric Power Space Technology Co., Ltd., Beijing, China Beijing University of Civil Engineering and Architecture, Beijing, China 13 12 2023 XLVIII-1/W2-2023 727 732 Copyright: © 2023 W. Hu et al. 2023 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/727/2023/isprs-archives-XLVIII-1-W2-2023-727-2023.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/727/2023/isprs-archives-XLVIII-1-W2-2023-727-2023.pdf

Airborne LiDAR can directly obtain 3D information of ground objects. By comparing the multi-temporal LiDAR data, ground objects change information of power transmission channel can be detected, providing data support for transmission line operation and maintenance. In this paper, an improved ICP algorithm based on multi-temporal LiDAR point cloud data power transmission channel ground object change detection method is proposed. Firstly, based on the classification of point cloud data, a two-level matching method of multi-temporal point cloud data considering the characteristics of power transmission channel was proposed to achieve accurate registration of point cloud data. Then, change detection and analysis of different types of ground feature point cloud data were carried out through elevation difference. Finally, cluster analysis was carried out on the changed ground feature points to generate multi-temporal relative ratio analysis report. Experimental results show that the proposed method can effectively detect power transmission channel changes.