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http://dx.doi.org/10.7780/kjrs.2008.24.2.141

3D Building Modeling Using Aerial LiDAR Data  

Cho, Hong-Beom (Department of Geoinformatic Engineering, Inha University)
Cho, Woo-Sug (Department of Geoinformatic Engineering, Inha University)
Park, Jun-Ku (Department of Geoinformatic Engineering, Inha University)
Song, Nak-Hyun (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.24, no.2, 2008 , pp. 141-152 More about this Journal
Abstract
The 3D building modeling is one of crucial components in constructing 3D geospatial information. The existing methods for 3D building modeling depend mainly on manual photogrammetric processes, which indeed take great amount of time and efforts. In recent years, many researches on 3D building modeling using aerial LiDAR data have been actively performed to aim at overcoming the limitations of existing 3D building modeling methods. Either techniques with interpolated grid data or data fusion with digital map and images have been investigated in most of existing researches on 3D building modeling with aerial LiDAR data. The paper proposed a method of 3D building modeling with LiDAR data only. Firstly, octree-based segmentation is applied recursively to LiDAR data classified as buildings in 3D space until there are no more LiDAR points to be segmented. Once octree-based segmentation is completed, each segmented patch is thereafter merged together based on its geometric spatial characteristics. Secondly, building model components are created with merged patches. Finally, a 3D building model is generated and composed with building model components. The experimental results with real LiDAR data showed that the proposed method was capable of modeling various types of 3D buildings.
Keywords
LiDAR; Octree; Segmentation; Merge; Modeling; Building model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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