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APPLIED LASER, Volume. 45, Issue 2, 141(2025)

Automatic Extraction of Power Lines Based on Improved Spatial Density Clustering

Qi Zhiyu1, Wang Jian1,2、*, Zhao Yilong3, and Li Zhiyuan1
Author Affiliations
  • 1College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
  • 2Qingdao Key Laboratory of Beidou Navigation and Intelligent Spatial Information Technology Application, Qingdao 266590, Shandong, China
  • 3Operation Management Department of Songxian Shanjin Mining Co., Ltd, Luoyang 471400, Henan, China
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    [1] [1] ALHASSAN A B, ZHANG X D, SHEN H M, et al. Power transmission line inspection robots: A review, trends and challenges for future research［J］. International Journal of Electrical Power & Energy Systems, 2020, 118: 105862.

    [2] [2] MATIKAINEN L, LEHTOMAKI M, AHOKAS E, et al. Remote sensing methods for power line corridor surveys［J］. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 119: 10-31.

    [5] [5] SHEN X J, QIN C, DU Y, et al. An automatic extraction algorithm of high voltage transmission lines from airborne LiDAR point cloud data［J］. Turkish Journal of Electrical Engineering & Computer Sciences, 2018, 26(4): 2043-2055.

    [9] [9] YANG Y, YANG H, ZHOU Z F, et al. Research on high voltage power line extraction based on transmission line point cloud characteristics and model fitting［J］. IOP Conference Series: Earth and Environmental Science, 2020, 446(4): 042011.

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    Qi Zhiyu, Wang Jian, Zhao Yilong, Li Zhiyuan. Automatic Extraction of Power Lines Based on Improved Spatial Density Clustering[J]. APPLIED LASER, 2025, 45(2): 141

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    Paper Information

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    Received: Mar. 16, 2024

    Accepted: Jun. 17, 2025

    Published Online: Jun. 17, 2025

    The Author Email: Wang Jian (wangj@sdust.edu.cn)

    DOI:10.14128/j.cnki.al.20254502.141

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology