GPU-Based Techniques for Vector Data Visualization on Global Scale Terrain

Bao Song Deng; Tie Qing  Deng; Dong Xu

doi:10.4028/www.scientific.net/AMM.380-384.1689

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384GPU-Based Techniques for Vector Data Visualization...

GPU-Based Techniques for Vector Data Visualization on Global Scale Terrain

Abstract:

In this paper we present a key data structure and associated render-time algorithm for the combined display of multi-resolution 3D terrain and traditional GIS vector data, by combining a fast GPU-based terrain solver, which is designed to create fully 3D scenes that deliver the best possible quality and do not require dynamic texture generation and handling. Level of detail terrain models and vector maps are created, and the server-client architecture is presented. The application provides an effective way for powerful access and manipulation of large-scale real datasets, which represents a basic mechanism for 3D GIS interface and exploration tools.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1689-1692

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1689

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Online since:

August 2013

Authors:

Bao Song Deng, Tie Qing Deng, Dong Xu

Keywords:

Global Scale Terrain, Graphic Processing Unit (GPU), Vector Data, Visualization

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References

[1] Sun, M., 3D Visualization Method of Large-scale Vector Data for Operation. In Proceeding of the Fourth International Conference on Cooperative Design, Visualization and Engineering, 2007, Shanghai, (2007).

Google Scholar

[2] Zhang, Y., Q. Huang, and J. Han. Real-time rendering of large-scale terrain based on GPU. in 4th IEEE Conference on Industrial Electronics and Applications. 2009. Xi'an, China: IEEE Computer Society, 445 Hoes Lane - P.O. Box 1331, Piscataway, NJ 08855-1331, United States.

DOI: 10.1109/iciea.2009.5138915

Google Scholar

[3] Agrawal, A., M. Radhakrishna, and R.C. Joshi, Geometry-based Mapping and Rendering of Vector Data over LOD Phototextured 3D Terrain Models. The 14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen-Bory, Czech Republic, 2006, (2006).

Google Scholar

[4] Schneider, M. and R. Klein, Efficient and Accurate Rendering of Vector Data on Virtual Landscapes. (2007).

Google Scholar

[5] Lindstrom, P. Out-of-core construction and visualization of multiresolution surfaces. in ACM SIGGRAPH 2003 Symposium on Interactive 3D Graphics. 2003. Monterey, CA, United states: Association for Computing Machinery.

DOI: 10.1145/641480.641500

Google Scholar

[6] Duchaineau, M., et al. ROAMing terrain: real-time optimally adapting meshes. in Proceedings of the IEEE Visualization Conference. 1997. Phoenix, AZ, USA: IEEE Comp Soc, Los Alamitos, CA, United States.

DOI: 10.1109/visual.1997.663860

Google Scholar