Research on 3D monitoring method of tree barrier based on satellite remote sensing fusion of transmission tower features

Sihang Zhang; Xiaojun Dou; Zhi Yang; Chang Liu; Bin Zhao; Te Li; Shaohua Wang; Xiao Tan; Gang Qiu

doi:10.1117/12.3014411

9 January 2024 Research on 3D monitoring method of tree barrier based on satellite remote sensing fusion of transmission tower features

Sihang Zhang, Xiaojun Dou, Zhi Yang, Chang Liu, Bin Zhao, Te Li, Shaohua Wang, Xiao Tan, Gang Qiu

Author Affiliations +

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 1296911 (2024) https://doi.org/10.1117/12.3014411
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

With the construction of city and the continuous expansion of power grid assets, transmission lines are increasingly radiating and expanding from urban areas to suburbs, mountainous areas, and even unmanned areas. Overhead transmission lines exposed in the wild are often susceptible to the impact of tree barriers. When the trees around the transmission line grow to a certain height, causing the distance between the wires and the trees to be too small, it can cause the wires to discharge from the trees, leading to accidents such as short circuits and trips. Therefore, the investigation of tree barriers is a highly concerned issue for various provincial companies. Based on the advantages of satellite remote sensing, such as wide coverage and unrestricted environmental conditions, this article proposes a three-dimensional monitoring method for tree obstacle based on satellites remote sensing images that integrates tower features. The effectiveness of the proposed method in this paper is verified by conducting experiments on a 500 kV transmission line in Chongqing and comparing it with unmanned aerial vehicle monitoring methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sihang Zhang, Xiaojun Dou, Zhi Yang, Chang Liu, Bin Zhao, Te Li, Shaohua Wang, Xiao Tan, and Gang Qiu "Research on 3D monitoring method of tree barrier based on satellite remote sensing fusion of transmission tower features", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 1296911 (9 January 2024); https://doi.org/10.1117/12.3014411

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