GPU-Based Volume Rendering for 3D Electromagnetic Environment on Virtual Globe
Автор: Chao Yang, Lingda Wu
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 1 vol.2, 2010 года.
Бесплатный доступ
Volume rendering is an important and effect algorithm to represent 3D volumetric data and 3D visualization on electromagnetic environment (EME) is one of the most important research fields in 3D battlespace. This paper presents a novel framework on visualizing the 3D EME by direct volume rendering on virtual globe. 3D power volumetric data is calculated based on the Longley-Rice radio propagation model (Irregular Terrain Model, ITM), which takes into account the effects of irregular terrain and atmosphere, and we use GPU-accelerated method to compute the EME volumetric data. The EME data are rendered using direct volume rendering method on virtual globe by assigning different color and opacity depending on user’s interactive input with color picker. We also propose an interactive method to show detailed information of EME at given place. This approach provides excellent decision supporting and plan-aiding for users.
Volume rendering, electromagnetic environment, virtual globe, irregular terrain model
Короткий адрес: https://sciup.org/15012030
IDR: 15012030
Список литературы GPU-Based Volume Rendering for 3D Electromagnetic Environment on Virtual Globe
- Anderson H. R, “Fixed Broadband Wireless System Design”, England Chichester: John Wiley & Sons Ltd, 2003.
- Graham W. A., Kirkman C. N., Paul M. P, “Mobile Radio Network Design in the VHF and UHF Bands”, England Chichester: John Wiley & Sons Ltd, 2007.
- A.G. Longley, P.L. Rice, “Prediction of tropospheric radio transmission over irregular terrain – a computer method”, ESSA Technical Report ERL79-ITS67, 1968.
- Peng Chen, Lingda Wu, “3D representation of radar coverage in complicated environment”, Simulation Modelling Practice and Theory, 2008, 2008(16): 1190–1199.
- Peng Chen, Yu Gao, Lingda Wu, “Research on representation of radar coverage in 3D digital terrain environment”, Asian Simulation Conference 2006 (JSST 2006), 2006.
- L. R. Kanodia, L. Linsen, B. Hammann, “Multiple transparent material-enriched isosurfaces”, Proceedings of WSCG 2005, 2005.
- P. Kipfer, R. Westermann, “GPU Construction and Transparent Rendering of Iso-Surfaces”, Proceedings of VMV 2005, 2005.
- J. Kruger, R. Westermann, “Acceleration techniques for GPU-based volume rendering”, Proceedings of IEEE Visualization 2003, 2003.
- S. Stegmaler, M. Strengert, T. Klein, T. Ertl, “A simple and flexible volume rendering framework for graphics-hardware-based raycasting”, Proceedings of Volume Graphics 2005, 2005.
- K. Engel, M. Hadwiger, J. Kniss,, C. Rezk-Salama, D. Weiskopf, “Real-time volume graphics”, AK-Peters, 2006.
- http://www.opengl.org/registry/specs/EXT/framebuffer_object.txt, 2010.
- E. Gobbetti, F. Marton, J. A. I. Guitian, “A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets”, Computer Graphic Interface 2008, 2008.
- D. Ruijters, A. Vilanova, “Optimizing GPU volume rendering”, Proceedings of WSCG 2006, 2006.
- G. A. Hufford, “The ITS Irregular Terrain Model, version 1.2.2 The Algorithm”, http://flattop.its.bldrdoc.gov/itm.html, 2010.
- Harris M., Baxter W., Scheurmann T., et al, “Simulation of Cloud Dynamics on Graphics Hardware”, Proceedings of Eurographics Workshop on Graphics Hardware, 2003.
- Harris M, “Fast Fluid Dynamics Simulation on the GPU”, GPU Gems, 2004.
- John D. Owens, David Luebke, Naga Govindaraju, et al, “A Survey of General-Purpose Computation on Graphics Hardware”, Eurographics 2005, State of the Art Reports, August 2005, pp. 21-51.
- John D. Owens, David Luebke, et al, “A Survey of General-Purpose Computation on Graphics Hardware”, Computer Graphics Forum, March 2007, 26(1):80–113.
- Crane K., Llamas I., Tariq S, “Real-Time Simulation and Rendering of 3D Fluids”, GPU Gems 3, 2007.
- Dominik Göddeke, “Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters”, PhD Thesis, 2010.