Automatic reconstruction of 3D urban landscape by computing connected regions and their average altitude 
 from LIDAR point cloud image

Yoshiyuki Kawata; Kohei Koizumi

doi:10.1117/12.2066622

23 October 2014 Automatic reconstruction of 3D urban landscape by computing connected regions and assigning them an average altitude from LiDAR point cloud image

Yoshiyuki Kawata, Kohei Koizumi

Author Affiliations +

Proceedings Volume 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V; 924512 (2014) https://doi.org/10.1117/12.2066622
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

The demand of 3D city modeling has been increasing in many applications such as urban planing, computer gaming with realistic city environment, car navigation system with showing 3D city map, virtual city tourism inviting future visitors to a virtual city walkthrough and others. We proposed a simple method for reconstructing a 3D urban landscape from airborne LiDAR point cloud data. The automatic reconstruction method of a 3D urban landscape was implemented by the integration of all connected regions, which were extracted and extruded from the altitude mask images. These mask images were generated from the gray scale LiDAR image by the altitude threshold ranges. In this study we demonstrated successfully in the case of Kanazawa city center scene by applying the proposed method to the airborne LiDAR point cloud data.

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Yoshiyuki Kawata and Kohei Koizumi "Automatic reconstruction of 3D urban landscape by computing connected regions and assigning them an average altitude from LiDAR point cloud image", Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 924512 (23 October 2014); https://doi.org/10.1117/12.2066622

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