APPLIED LASER, Volume. 44, Issue 4, 104(2024)

Intelligent Detection of Distance below Transmission Line Based on Airborne Point Cloud

Ma Weifeng1,2,3, Wu Xiaodong2,4, Wang Chong2, Wen Ping2, Cao Lei2, and Zhu Qi2
Author Affiliations
  • 1Faculty of Geography, Yunnan Normal University, Kunming 650500, Yunnan, China
  • 2Power China Kunming Engineering Corporation Limited, Kunming 650000, Yunnan, China
  • 3Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, Yunnan, China
  • 4Institute of International Rivers and Eco-security, Yunnan University, Kunming 650500, Yunnan, China
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    References(8)

    [4] [4] REN Y, CHAI L J, GUO J Y, et al. Application of airborne lidar technology in transmission line survey[J]. Journal of Physics: Conference Series, 2020, 1550(5): 052002.

    [5] [5] HU S, YANG S, ZHANG Y. Research on UAV technology in the field of transmission line inspection[J]. International Core Journal of Engineering, 2020, 6(4): 173-175.

    [7] [7] LI S T, LI J Y. Condition monitoring and diagnosis of power equipment: Review and prospective[J]. High Voltage, 2017, 2(2): 82-91.

    [11] [11] GUO Y L, WANG H Y, HU Q Y, et al. Deep learning for 3D point clouds: A survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43(12): 4338-4364.

    [12] [12] LI W, LUO Z P, XIAO Z L, et al. A GCN-based method for extracting power lines and pylons from airborne LiDAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 5700614.

    [14] [14] MATIKAINEN L, LEHTOMKI 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.

    [15] [15] PENG S W, XI X H, WANG C, et al. Systematic comparison of power corridor classification methods from ALS point clouds[J]. Remote Sensing, 2019, 11(17): 1961.

    [19] [19] ZHANG G P, XU Q, XING S, et al. A noise-removal algorithm without input parameters based on quadtree isolation for photon-counting LiDAR[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 6501905.

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    Ma Weifeng, Wu Xiaodong, Wang Chong, Wen Ping, Cao Lei, Zhu Qi. Intelligent Detection of Distance below Transmission Line Based on Airborne Point Cloud[J]. APPLIED LASER, 2024, 44(4): 104

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    Paper Information

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    Received: Jul. 18, 2023

    Accepted: Dec. 13, 2024

    Published Online: Dec. 13, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20244404.104

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