A spatial data generalization method for online vector data 3D visualization

Min Sun; Zhipeng Wang; Dan Yin; Huan Wu

doi:10.1117/12.759688

1 August 2007 A spatial data generalization method for online vector data 3D visualization

Min Sun, Zhipeng Wang, Dan Yin, Huan Wu

Proceedings Volume 6751, Geoinformatics 2007: Cartographic Theory and Models; 67510U (2007) https://doi.org/10.1117/12.759688
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Min Sun, Zhipeng Wang, Dan Yin, and Huan Wu "A spatial data generalization method for online vector data 3D visualization", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510U (1 August 2007); https://doi.org/10.1117/12.759688

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