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Proceedings Paper

A spatial data generalization method for online vector data 3D visualization
Author(s): Min Sun; Zhipeng Wang; Dan Yin; Huan Wu
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Paper Abstract

Web online applications present a lot of challenges for spatial data generalization, in this paper, a novel method of spatial data generalization for real time visualization is presented. In this method Quadtree Index of Priority (QIP) is used to control real time data generalization in 3D rendering process. Priorities of points elimination from objects is composed of contrived priority and automatic priority. Contrived priority is determined by attributes of objects, while automatic priority is automatically calculated from object's geometry shape by vision-based algorithm and Fast Segmentation (FS) algorithm. In addition, quadtree index of priorities is also proposed to be used in global data generalization control. In order to test the generalization method, an experiment with large scale vector data visualization is given.

Paper Details

Date Published: 1 August 2007
PDF: 10 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510U (1 August 2007); doi: 10.1117/12.759688
Show Author Affiliations
Min Sun, Peking Univ. (China)
Zhipeng Wang, China Univ. of Mining and Technology, Beijing (China)
Dan Yin, Peking Univ. (China)
Huan Wu, Peking Univ. (China)

Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models
Manchun Li; Jiechen Wang, Editor(s)

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