Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 397-401, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B4-397-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
31 Jul 2012
AN INTEGRATED SPATIAL INDEXING OF HUGE POINT IMAGE MODEL
Y. Wang and M. Guo Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Keywords: Terrestrial LIDAR, Point Image, Spatial Index, LOD Abstract. In order to manage point image model easier and build the point cloud model on the basis of the need and improve the query efficiency, a 2D&3D integrated spatial index of large point image model is proposed in this paper. Point image is managed by 2D quad tree and 3D MBB. Point image model constituted by point image are indexed by 3D-R tree. Finally the organized hierarchical model and other attribute data are stored in commercial database. The storage, management and visualization of large point image model are verified on the ordinary PCs. The experiment data are derived from the representative ancient buildings in Forbidden City. Experimental results show that the algorithm is able to manage more than 10G-level data and one billion valid points with satisfactory rendering efficiency.
Conference paper (PDF, 1373 KB)


Citation: Wang, Y. and Guo, M.: AN INTEGRATED SPATIAL INDEXING OF HUGE POINT IMAGE MODEL, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 397-401, https://doi.org/10.5194/isprsarchives-XXXIX-B4-397-2012, 2012.

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