Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 131-135, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/131/2015/
doi:10.5194/isprsarchives-XL-3-W3-131-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Aug 2015
AUTOMATIC EXTRACTION AND TOPOLOGY RECONSTRUCTION OF URBAN VIADUCTS FROM LIDAR DATA
Y. Wang and X. Hu School of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road 129, Wuhan 430079, China
Keywords: Airborne LiDAR, Point Cloud, Overpass, Urban Viaducts Recognition, Topology Reconstruction Abstract. Urban viaducts are important infrastructures for the transportation system of a city. In this paper, an original method is proposed to automatically extract urban viaducts and reconstruct topology of the viaduct network just with airborne LiDAR point cloud data. It will greatly simplify the effort-taking procedure of viaducts extraction and reconstruction. In our method, the point cloud first is filtered to divide all the points into ground points and none-ground points. Region growth algorithm is adopted to find the viaduct points from the none-ground points by the features generated from its general prescriptive designation rules. Then, the viaduct points are projected into 2D images to extract the centerline of every viaduct and generate cubic functions to represent passages of viaducts by least square fitting, with which the topology of the viaduct network can be rebuilt by combining the height information. Finally, a topological graph of the viaducts network is produced. The full-automatic method can potentially benefit the application of urban navigation and city model reconstruction.
Conference paper (PDF, 1142 KB)


Citation: Wang, Y. and Hu, X.: AUTOMATIC EXTRACTION AND TOPOLOGY RECONSTRUCTION OF URBAN VIADUCTS FROM LIDAR DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 131-135, doi:10.5194/isprsarchives-XL-3-W3-131-2015, 2015.

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