Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys
Powerline inspection and modelization using airborne light detection and ranging (LiDAR) data have been widely studied through the years. However, to the best of our knowledge, the proposed methods rely on intentional flights carried out along the high-voltage powerline. Thus, the state-of-the-art s...
| Autores: | , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Santiago de Compostela (USC) |
| Repositorio: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| Idioma: | inglés |
| OAI Identifier: | oai:minerva.usc.gal:10347/38899 |
| Acceso en línea: | https://hdl.handle.net/10347/38899 |
| Access Level: | acceso abierto |
| Palabra clave: | Airborne point cloud Light detection and ranging (LiDAR) point clouds Parallel computing Powerlines |
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Powerline Detection and Characterization in General-Purpose Airborne LiDAR SurveysYermo, MiguelLaso Rodríguez, RubénGarcía Lorenzo, ÓscarFernández Pena, Anselmo TomásCabaleiro Domínguez, José CarlosFernández Rivera, FranciscoLópez Vilariño, DavidAirborne point cloudLight detection and ranging (LiDAR) point cloudsParallel computingPowerlinesPowerline inspection and modelization using airborne light detection and ranging (LiDAR) data have been widely studied through the years. However, to the best of our knowledge, the proposed methods rely on intentional flights carried out along the high-voltage powerline. Thus, the state-of-the-art studies focus on detecting and characterizing a single powerline whose presence and location are known beforehand. We propose a method to detect and model powerlines of any voltage from airborne LiDAR point clouds not necessarily acquired for this purpose. Also, the method is suitable to be applied to those point clouds whose density is usually lower than that obtained using specific purpose flights over the powerlines. Our solution starts filtering out most of the points that do not belong to electric conductors. Then, the Hough transform is used to detect straight lines. Its output is then used to cluster the electric conductors. Also, we propose a solution to bypass a common issue regarding the nonmaxima suppression often used in object detection algorithms. Furthermore, a robust method for clustering conductors sharing the same vertical plane is presented, being able to return good results even in the absence of parts of any electrical conductor. The algorithm is tested in several datasets containing high-voltage powerlines and others, comprising mid- and low-voltage electric conductors. Finally, a study of the computational performance shows that the algorithm can efficiently take advantage of manycore systems, which is essential to determine the feasibility of our approach on massive LiDAR point clouds.Institute of Electrical and Electronics EngineersUniversidade de Santiago de Compostela. Departamento de Electrónica e ComputaciónUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS)20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10347/38899reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/388992026-06-15T12:47:27Z |
| dc.title.none.fl_str_mv |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys |
| title |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys |
| spellingShingle |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys Yermo, Miguel Airborne point cloud Light detection and ranging (LiDAR) point clouds Parallel computing Powerlines |
| title_short |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys |
| title_full |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys |
| title_fullStr |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys |
| title_full_unstemmed |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys |
| title_sort |
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys |
| dc.creator.none.fl_str_mv |
Yermo, Miguel Laso Rodríguez, Rubén García Lorenzo, Óscar Fernández Pena, Anselmo Tomás Cabaleiro Domínguez, José Carlos Fernández Rivera, Francisco López Vilariño, David |
| author |
Yermo, Miguel |
| author_facet |
Yermo, Miguel Laso Rodríguez, Rubén García Lorenzo, Óscar Fernández Pena, Anselmo Tomás Cabaleiro Domínguez, José Carlos Fernández Rivera, Francisco López Vilariño, David |
| author_role |
author |
| author2 |
Laso Rodríguez, Rubén García Lorenzo, Óscar Fernández Pena, Anselmo Tomás Cabaleiro Domínguez, José Carlos Fernández Rivera, Francisco López Vilariño, David |
| author2_role |
author author author author author author |
| dc.contributor.none.fl_str_mv |
Universidade de Santiago de Compostela. Departamento de Electrónica e Computación Universidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS) |
| dc.subject.none.fl_str_mv |
Airborne point cloud Light detection and ranging (LiDAR) point clouds Parallel computing Powerlines |
| topic |
Airborne point cloud Light detection and ranging (LiDAR) point clouds Parallel computing Powerlines |
| description |
Powerline inspection and modelization using airborne light detection and ranging (LiDAR) data have been widely studied through the years. However, to the best of our knowledge, the proposed methods rely on intentional flights carried out along the high-voltage powerline. Thus, the state-of-the-art studies focus on detecting and characterizing a single powerline whose presence and location are known beforehand. We propose a method to detect and model powerlines of any voltage from airborne LiDAR point clouds not necessarily acquired for this purpose. Also, the method is suitable to be applied to those point clouds whose density is usually lower than that obtained using specific purpose flights over the powerlines. Our solution starts filtering out most of the points that do not belong to electric conductors. Then, the Hough transform is used to detect straight lines. Its output is then used to cluster the electric conductors. Also, we propose a solution to bypass a common issue regarding the nonmaxima suppression often used in object detection algorithms. Furthermore, a robust method for clustering conductors sharing the same vertical plane is presented, being able to return good results even in the absence of parts of any electrical conductor. The algorithm is tested in several datasets containing high-voltage powerlines and others, comprising mid- and low-voltage electric conductors. Finally, a study of the computational performance shows that the algorithm can efficiently take advantage of manycore systems, which is essential to determine the feasibility of our approach on massive LiDAR point clouds. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024-01-01 2024 2024-01-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10347/38899 |
| url |
https://hdl.handle.net/10347/38899 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
| publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
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reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela instname:Universidad de Santiago de Compostela (USC) |
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Universidad de Santiago de Compostela (USC) |
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Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
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Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
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1869402778208567296 |
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15,81155 |