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3D Power Line Extraction from Multiple Aerial Images

Power lines are cables that carry electrical power from a power plant to an electrical substation. They must be connected between the tower structures in such a way that ensures minimum tension and sufficient clearance from the ground. Power lines can stretch and sag with the changing weather, event...

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Detalles Bibliográficos
Autores principales: Oh, Jaehong, Lee, Changno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677229/
https://www.ncbi.nlm.nih.gov/pubmed/28961204
http://dx.doi.org/10.3390/s17102244
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author Oh, Jaehong
Lee, Changno
author_facet Oh, Jaehong
Lee, Changno
author_sort Oh, Jaehong
collection PubMed
description Power lines are cables that carry electrical power from a power plant to an electrical substation. They must be connected between the tower structures in such a way that ensures minimum tension and sufficient clearance from the ground. Power lines can stretch and sag with the changing weather, eventually exceeding the planned tolerances. The excessive sags can then cause serious accidents, while hindering the durability of the power lines. We used photogrammetric techniques with a low-cost drone to achieve efficient 3D mapping of power lines that are often difficult to approach. Unlike the conventional image-to-object space approach, we used the object-to-image space approach using cubic grid points. We processed four strips of aerial images to automatically extract the power line points in the object space. Experimental results showed that the approach could successfully extract the positions of the power line points for power line generation and sag measurement with the elevation accuracy of a few centimeters.
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spelling pubmed-56772292017-11-17 3D Power Line Extraction from Multiple Aerial Images Oh, Jaehong Lee, Changno Sensors (Basel) Article Power lines are cables that carry electrical power from a power plant to an electrical substation. They must be connected between the tower structures in such a way that ensures minimum tension and sufficient clearance from the ground. Power lines can stretch and sag with the changing weather, eventually exceeding the planned tolerances. The excessive sags can then cause serious accidents, while hindering the durability of the power lines. We used photogrammetric techniques with a low-cost drone to achieve efficient 3D mapping of power lines that are often difficult to approach. Unlike the conventional image-to-object space approach, we used the object-to-image space approach using cubic grid points. We processed four strips of aerial images to automatically extract the power line points in the object space. Experimental results showed that the approach could successfully extract the positions of the power line points for power line generation and sag measurement with the elevation accuracy of a few centimeters. MDPI 2017-09-29 /pmc/articles/PMC5677229/ /pubmed/28961204 http://dx.doi.org/10.3390/s17102244 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oh, Jaehong
Lee, Changno
3D Power Line Extraction from Multiple Aerial Images
title 3D Power Line Extraction from Multiple Aerial Images
title_full 3D Power Line Extraction from Multiple Aerial Images
title_fullStr 3D Power Line Extraction from Multiple Aerial Images
title_full_unstemmed 3D Power Line Extraction from Multiple Aerial Images
title_short 3D Power Line Extraction from Multiple Aerial Images
title_sort 3d power line extraction from multiple aerial images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677229/
https://www.ncbi.nlm.nih.gov/pubmed/28961204
http://dx.doi.org/10.3390/s17102244
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