文章基本信息

标题：AN INTEGRATED SPATIAL INDEXING OF HUGE POINT IMAGE MODEL
本地全文：下载
作者：Y. Wang ; M. Guo
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2012
卷号：XXXIX-B4
页码：397-401
DOI：10.5194/isprsarchives-XXXIX-B4-397-2012
出版社：Copernicus Publications
摘要：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
关键词：Terrestrial LIDAR; Point Image; Spatial Index; LOD