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4 September 2024 Research on laser point cloud transmission line extraction method based on improved KDTree and regression fitting fusion
Weiwei Yin, Zhi Chen, Rui Li, Jiacheng Jin, Wanyi Chen, Zhe An
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Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132591T (2024) https://doi.org/10.1117/12.3039378
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China
Abstract
Aiming at the problem that the traditional extraction method is not high in the accuracy of transmission line extraction under complex terrain, this paper proposes an improved classification extraction method to achieve effective transmission line extraction. In this paper, on the basis of KDTree algorithm clustering, the cloth simulation filter is added to make the classification accuracy higher, the operation speed is faster, and the interference of ground surface extraction of power lines is reduced. The extracted power line point cloud is again clustered, and each line is classified and given color. In order to verify the effectiveness of the proposed method, an experiment is carried out on a self-collected point cloud data set of transmission lines. The experimental results show that the improved algorithm can perform the task of transmission line classification well and achieve the expected effect.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Weiwei Yin, Zhi Chen, Rui Li, Jiacheng Jin, Wanyi Chen, and Zhe An "Research on laser point cloud transmission line extraction method based on improved KDTree and regression fitting fusion", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132591T (4 September 2024); https://doi.org/10.1117/12.3039378
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KEYWORDS
Point clouds
Data transmission
Feature extraction
Data processing
LIDAR
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