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《Geo-Information Science》 2008-02
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Organization and Indexing Method for 3D Points Cloud Data

LU Mingyue,HE Yongjian (School of Remote Sensing,Nanjing University of Information Science & Technology,Nanjing 210044,China)  
Being the primary data source,3D points cloud is also an important means to describe and express the geographic objects and phenomena in 3D GIS as well as to perform model building.And the effective organization of the points is the basis for its operation and analysis.Therefore,in this paper,3D points are arranged and sorted according to a specified rule,and then organized by a compound structure of spatial octree and balanced binary tree,which greatly speeds up the query process based on the 3D coordinate,and lays a solid foundation for the further analysis of 3D points data.This paper also unifies the compound structure in both memory and database.And a case study has proved its validity.
【Fund】: 虚拟地理环境教育部重点实验室开放基金(2007VGE02)资助
【CateGory Index】: P208
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