The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 515–520, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-515-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 515–520, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-515-2020

  12 Aug 2020

12 Aug 2020

POWER TRANSMISSION LINE RECONSTRUCTION FROM SEQUENTIAL OBLIQUE UAV IMAGES

Z. Wu1, W. Lei2, W. Sun3, C. Chen3, H. Wang2, W. Yu1, H. Zhong1, C. Zhu2, J. Xi2, and B. Yang3 Z. Wu et al.
  • 1China Southern Power Grid Co., Ltd
  • 2China Southern Power Grid Digital Grid Research Institute Co., Ltd
  • 3State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, No. 129, Luoyu Road, Wuhan, P.R. China

Keywords: High Resolution Oblique Imagery, 3D Reconstruction, Transmission Lines, Low-cost, UAV

Abstract. 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.