Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/55446
Título: Characterization and modeling of power line corridor elements from LiDAR point clouds
Autores/as: Ortega Trujillo, Sebastián Eleazar 
Trujillo Pino, Agustín Rafael 
Santana, José M. 
Suárez Rivero, José Pablo 
Santana Almeida, Jaisiel A.
Clasificación UNESCO: 120399 Otras (especificar)
Palabras clave: Power line
Classification
Point cloud
Modeling
Proceso de señal
Fecha de publicación: 2019
Publicación seriada: ISPRS Journal of Photogrammetry and Remote Sensing 
Resumen: As the electric companies need to assure the reliability of their services, power line management gains importance during the last years. Many of them rely on LiDAR scanning of their assets to obtain the status of their power line corridors and determine possible risks. In this paper, a novel sevenfold staged pipeline is introduced to classify pylon and wire points and model the conductors. Wire points are subdivided into three categories: shield, common conductor and chain. Pylons of two different types are taken into account: suspension and anchor. For the first case, insulator strains are also identified and separated. Wire points are segmented as individual conductors and a 3D-wise model based on the catenary equation is generated for each conductor using particle swarm optimization. Tests have been conducted on a set with 25 point cloud files to assess the accuracy and correctness of the results given by the proposed pipeline.
URI: http://hdl.handle.net/10553/55446
ISSN: 0924-2716
DOI: 10.1016/j.isprsjprs.2019.03.021
Fuente: ISPRS Journal of Photogrammetry and Remote Sensing [ISSN 0924-2716], v. 152, p. 24-33
Colección:Artículos
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.