Feature analysis of transmission line external breakage on remote sensing images and LiDAR

Zhi Yang; Xiaojun Dou; Sihang Zhang; Chuang Li; Mengxuan Li; Shaohua Wang; Te Li; Chang Liu; Bin Liu; Bin Zhao; Jian Wang; Xiao Ma; Danyu Li

doi:10.1117/12.3007962

14 November 2023 Feature analysis of transmission line external breakage on remote sensing images and LiDAR

Zhi Yang, Xiaojun Dou, Sihang Zhang, Chuang Li, Mengxuan Li, Shaohua Wang, Te Li, Chang Liu, Bin Liu, Bin Zhao, Jian Wang, Xiao Ma, Danyu Li

Author Affiliations +

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 1293415 (2023) https://doi.org/10.1117/12.3007962
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

Facing the extraction of hidden danger information of external breakage to transmission lines, we first introduce lidar and optical remote sensing image data acquisition, processing, and information extraction technologies, then analyze the characteristics of transmission corridors obtained by these two sensing methods, and summarize their respective advantages and disadvantages. On this basis, we propose a method for external breakage hidden danger information of transmission lines by combining remote sensing images and LiDAR point clouds. This method can simultaneously acquire the texture and spatial three-dimensional data of the external breakage target in the transmission corridor, and form high-quality spatial three-dimensional model data, which is conducive to the effective identification and accurate extraction of external breakage hidden danger.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhi Yang, Xiaojun Dou, Sihang Zhang, Chuang Li, Mengxuan Li, Shaohua Wang, Te Li, Chang Liu, Bin Liu, Bin Zhao, Jian Wang, Xiao Ma, and Danyu Li "Feature analysis of transmission line external breakage on remote sensing images and LiDAR", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 1293415 (14 November 2023); https://doi.org/10.1117/12.3007962

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