Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64873
Title: A mix global data structure based on QTM and voronoi
Authors: Zhao, XS
Chen, J
Li, ZL 
Keywords: GIS
Updating
Modeling
Dynammic
Triangulation
Issue Date: 2004
Publisher: Copernicus GmbH
Source: International archives of the photogrammetry, remote sensing and spatial information sciences, 2004, v. XXXV-B4, p. 791-796 How to cite?
Journal: International archives of the photogrammetry, remote sensing and spatial information sciences 
Abstract: To efficiently store, retrieve and update the global spatial data, a hierarchical and dynamic data model on a global scale is urgently needed. The QTM (Quaternary Triangular Mesh) as a hierarchical quadtree data structure on sphere is one of the most efficient methods for managing the global spatial data in many applications. But QTM structure is based on fields instead of objects. So it is efficient in multi-resolution manipulation, but difficult in local data update frequency. To efficiently manipulate multi-resolution and to update data dynamically, a mix global data structure-----Variable Tree Data Structure (VTDS) is designed. There are two different types of ‘node’s in VTDS, one is ‘O_Node’ (i.e. object-node), the other is ‘I_Node’ (i.e. index-node). At every level (except the root one), all ‘O_Node’s only consist of spatial objects represented by QTM address codes which is efficient in multi-resolutions manipulation. However, ‘I_Node’s may consist of child ‘O_Node’s and ‘I_Nnode’s which include indexing information by which the interested objects within a location scope can be retrieved easily. Meanwhile, the Voronoi diagram based on QTM of related objects at a given level will be dynamically generated to preserve adjacency relationships, which are fundamental to perform queries and updates in local addition or deletion of individual objects. Multi-resolutions manipulation and dynamic update of spherical objects in VTDS are given in details in this paper.
Description: XXth International Congress for Photogrammetry and Remote Sensing (ISPRS Congress), Technical Commussion IV, Istanbul, Turkey, 12-23 July 2004
URI: http://hdl.handle.net/10397/64873
ISSN: 1682-1750
EISSN: 2194-9034
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