Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 121-126, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-121-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
24 Jul 2012
RECONSTRUCTION OF BUILDING OUTLINES IN DENSE URBAN AREAS BASED ON LIDAR DATA AND ADDRESS POINTS
M. Jarzabek-Rychard Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Science, Poland
Keywords: LIDAR, Point Cloud, Algorithms, Building, Reconstruction Abstract. The paper presents a comprehensive method for automated extraction and delineation of building outlines in densely built-up areas. A novel approach to outline reconstruction is the use of geocoded building address points. They give information about building location thus highly reduce task complexity. Reconstruction process is executed on 3D point clouds acquired by airborne laser scanner. The method consists of three steps: building detection, delineation and contours refinement. The algorithm is tested against a data set that presents the old market town and its surroundings. The results are discussed and evaluated by comparison to reference cadastral data.
Conference paper (PDF, 1898 KB)


Citation: Jarzabek-Rychard, M.: RECONSTRUCTION OF BUILDING OUTLINES IN DENSE URBAN AREAS BASED ON LIDAR DATA AND ADDRESS POINTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 121-126, https://doi.org/10.5194/isprsarchives-XXXIX-B3-121-2012, 2012.

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