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Study of Structure Modeling from Terrestrial LIDAR Data  

Lee, Kyung-Keun (Department of Electronics Engineering, Kookmin University)
Jung, Kyeong-Hoon (Department of Electronics Engineering, Kookmin University)
Kim, Ki-Doo (Department of Electronics Engineering, Kookmin University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.1, 2011 , pp. 8-15 More about this Journal
Abstract
In this paper, we propose a new structure modeling algorithm from 3D cloud points of terrestrial LADAR data. Terrestrial LIDAR data have various obstacles which make it difficult to apply conventional algorithms designed for air-borne LIDAR data. In the proposed algorithm, the field data are separated into several clusters by adopting the structure extraction method which uses color information and Hough transform. And cluster based Delaunay triangulation technique is sequentially applied to model the artificial structure. Each cluster has its own priority and it makes possible to determine whether a cluster needs to be considered not. The proposed algorithm not only minimizes the effects of noise data but also interactively controls the level of modeling by using cluster-based approach.
Keywords
Terrestrial LIDAR; Cloud point; TIN; Clustering; Modeling;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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