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http://hdl.handle.net/2183/31909 Detección de líneas eléctricas en nubes de puntos LiDAR a través de un filtro basado en histogramas locales
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Ramos Rey, Arturo
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Universidade da Coruña. Facultade de Informática
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Abstract
[Resumen]: La tecnología LiDAR es una de las principales técnicas de adquisición de datos en el ámbito
geoespacial. En el área energética, esta tecnología es comúnmente utilizada a la hora de capturar
nubes de puntos del entorno para, posteriormente, procesarlas y analizar situaciones de
riesgo alrededor de líneas eléctricas. Esta tarea, hasta ahora, se ha estado realizando en la mayoría
de los casos de forma manual. Este trabajo consiste en la automatización del procesado
de las nubes de puntos con el objetivo de detectar las líneas eléctricas. En él, se desarrolla un
algoritmo basados en características geométricas y se analizan los resultados obtenidos sobre
diferentes datos obtenidos de repositorios de Luxemburgo y Suiza.
[Abstract]: LiDAR technology is one of the main data acquisition techniques in the geospatial field. In the energy area, this technology is commonly used to capture point clouds of the environment to later process them and analyze risk situations around power lines. This task, until now, has been performed in most cases manually. This work consists of automating the processing of the point clouds in order to detect power lines. In it, an algorithm based on geometric features is developed and the results obtained on different data obtained from repositories in Luxembourg and Switzerland are analyzed.
[Abstract]: LiDAR technology is one of the main data acquisition techniques in the geospatial field. In the energy area, this technology is commonly used to capture point clouds of the environment to later process them and analyze risk situations around power lines. This task, until now, has been performed in most cases manually. This work consists of automating the processing of the point clouds in order to detect power lines. In it, an algorithm based on geometric features is developed and the results obtained on different data obtained from repositories in Luxembourg and Switzerland are analyzed.
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