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POWER TRANSMISSION LINE RECONSTRUCTION FROM SEQUENTIAL OBLIQUE UAV IMAGES

Authors :
Z. Wu
W. Lei
W. Sun
C. Chen
H. Wang
W. Yu
H. Zhong
C. Zhu
J. Xi
B. Yang
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 515-520 (2020)
Publication Year :
2020
Publisher :
Copernicus Publications, 2020.

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.

Details

Language :
English
ISSN :
16821750 and 21949034
Volume :
XLIII-B2-2020
Database :
Directory of Open Access Journals
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.08824926729d410d934e1861626f4106
Document Type :
article
Full Text :
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-515-2020