The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Aug 2020)

POWER TRANSMISSION LINE RECONSTRUCTION FROM SEQUENTIAL OBLIQUE UAV IMAGES

  • Z. Wu,
  • W. Lei,
  • W. Sun,
  • C. Chen,
  • H. Wang,
  • W. Yu,
  • H. Zhong,
  • C. Zhu,
  • J. Xi,
  • B. Yang

DOI
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-515-2020
Journal volume & issue
Vol. XLIII-B2-2020
pp. 515 – 520

Abstract

Read online

With the accelerated development of the global economy, the scale of UHV (Ultra High Voltage) large-capacity transmission lines has increased dramatically. Nevertheless, existing transmission line inspection methods rely on human inspectors detecting abnormal facilities from ground level or helicopters. Those methods not only require extremely high labor and equipment costs, but also are time-consuming. In this paper, a thin object 3D reconstruction method is proposed for the extraction of 3D structures of power lines from sequential oblique UAV images. The proposed method recovers the 3D structure of the power lines from three sequential images that depict the structure of power lines in 2D. Proposed method was tested in a typical transmission line corridor and the reconstructed results show the effectiveness of the proposed method.