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›› 2018, Vol. 35 ›› Issue (5): 612-616.DOI: 10.7523/j.issn.2095-6134.2018.05.007

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Power line extraction using airborne LiDAR point clouds characteristics and model fitting method

YANG Yuan1, CHEN Fengxiang1, GUO Tao1, SHI Lei1, WANG Cheng2, LUO Xin3   

  1. 1. Transmission Line Maintenance Operation Branch of Guizhou Power Grid Co., Ltd, Guiyang 550002, China;
    2. Key Lab of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
    3. Guizhou Electric Power Design & Research Institute, Guiyang 550002, China
  • Received:2017-07-03 Revised:2017-09-27 Online:2018-09-15

Abstract: Digital power line is a core part of digital grid construction and smart line security inspection. Airborne LiDAR has a unique advantage for power line reconstruction because it is capable of accurately and quickly obtaining 3-D information. We propose a new method for automatically and rapidly extracting power lines from airborne LiDAR data in the transmission corridor. Firstly, the power line points were roughly extracted based on the spatial distribution of raw point clouds, and the noise points were removed by using the improved Hough transform and RANSAC parabolic fitting method. Then, the power lines were distributed on the horizontal plane and the vertical plane. Finally, the points of power line were extracted by the model growth method, which was based on the assumption that the plane model of single power line was linear and the model on the vertical plane was parabolic. The experimental results show that the extraction accuracy of power line reaches 99.6% using the proposed method.

Key words: airborne LiDAR, power line, improved Hough transform, RANdom SAmple Consensus

CLC Number: