文章基本信息

标题：AUTOMATIC EXTRACTION OF TRACION POLES USING MOBILE LASER SCANNING DATA
其他标题：OPRACOWANIE I OCENA SKUTECZNOŚCI DZIAŁANIA ALGORYTMU SEGMENTACJI SŁUPÓW TRAKCYJNYCH POMIERZONYCH TECHNIKĄ MOBILNEGO SKANINGU lASEROWEGO
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作者：Elżbieta Pastucha ; Małgorzata Słota
期刊名称：Archiwum Fotogrametrii, Kartografii i Teledetekcji
印刷版ISSN：2083-2214
出版年度：2012
卷号：24
语种：English
出版社：Main Board of Association of Polish Surveyors
摘要：In the last few years in Poland the railway infrastructure modernization program was lounged. It requires fast and precise technique to acquire data sets. Mobile laser scanning could be implemented, however automatic modeling methods from point cloud data sets are not suitable for geometrically complex railway infrastructure equipment such as traction poles.The main object of this study is the development of automatic traction poles extraction algorithm from laser scanning data. The flexibility of the method and independence from user-defined parameters were the main algorithm objectives. Because of the laser scanning data volume,simple calculations on point cloud subsets should be used to assure processing efficiency. In this study the combination of density and distance analysis was used. Proposed algorithm has been divided into two stages. In the first step regions of interest are selected by analysis of density difference for points located directly above the railway tracks. The influence of point density bin size on the number of correctly classified region was tested. In the second stage,each of the potential regions is analyzed individually. Iterative method of rejecting points based on distance criteria was used to extract traction poles points. In the study the point cloud from mobile laser scanner with density of 700 points/m 2 was used. The test area covers 1.5 km railroad section between Miechow and Slomniki in Poland and contains 26 traction poles. All traction poles within study area were detected. It was proved that by appropriate combination of density and distance analysis,accurate traction poles extraction is possible even in complex regions with many surrounding objects.
其他摘要：W artykule przedstawiono metodę detekcji kolejowych słupów trakcyjnych w oparciu o dane pochodzące ze skaningu laserowego. Głównymi założeniami podczas opracowywania algorytmu były uniwersalność metody,niezależność od parametrów definiowanych przez użytko
关键词：mobile laser scanning;point cloud;object detection;segmentation;railway infrastructure
其他关键词：mobilny skaning laserowy;chmura punktów;detekcja obiektów; klasyfikacja;infrastruktura kolejowa