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Proceedings Paper

Integration and sharing of spatial data based on spatial information multi-grids
Author(s): Yingchun Fu; Xiuxiao Yuan; Lin Gui
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Paper Abstract

It is difficult to exchange and share multi-source geospatial information in some applications, such as LBS or grid computing, especially to that of different geo-reference benchmark. This paper briefly introduces a new method which is adaptive to real-time integrate and share multi-source and multi-scale spatial information. Considered the way that the spatial information multi-grids (SIMG) is designed and coded to express multi-scale geo-space which can be located by LQMC (Layer Quadtree Morton Coding). The geospatial objects of SIMG located by corresponding LQMC can be expressed as a fixed increment value relative to the grid center at different geo-reference benchmark. A algorithm based on SIMG has been proposed to simplify the rigorous coordinate transform model, which can meet specification accuracy of topographic maps as well as distinctly improve efficiency of integration of spatial information. The empirical results have shown acquisition accuracy of geospatial information is high, multi-source geospatial information can attain real-time seamless integration in each grid of multi-grid. The characters of the method such as object-oriented, simple and efficient with geographical coding make sure it a valid model.

Paper Details

Date Published: 2 December 2005
PDF: 9 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60451H (2 December 2005); doi: 10.1117/12.651140
Show Author Affiliations
Yingchun Fu, Wuhan Univ. (China)
Xiuxiao Yuan, Wuhan Univ. (China)
Lin Gui, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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