Terrain data compression using wavelet-tiled pyramids for online 3D terrain visualization

References

• Balevic, A., 2010. Parallel variable-length encoding on GPGPUs. In: Proceedings of the Euro-Par workshops, 25–28 August 2009. Delft: Springer, pp. 26–35.
   Google Scholar
• Bettio, F., et al., 2007. High-quality networked terrain rendering from compressed bitstreams. In: Proceedings of the twelfth international conference on 3D web technology, 15–18 April 2007. Perugia: ACM, pp. 37–44.
   Google Scholar
• Bösch, J., Goswami, P., and Pajarola, R., 2009. RASTeR: Simple and efficient terrain rendering on the GPU. In: Proceedings of the EUROGRAPHICS areas papers, March 30–April 3, 2009. Munich: Eurographics Association, pp. 35–42.
   Google Scholar
• Christopoulos, C., Skodras, A., and Ebrahimi, T., 2000. The JPEG2000 still image coding system: an overview. IEEE Transactions on Consumer Electronics, 46, 1103–1127.
   Web of Science ®Google Scholar
• Cline, D. and Egbert, P.K., 1998. Interactive display of very large textures. In: Proceedings of the Visualization’98, 18–23 October 1998. Research Triangle Park, NC: IEEE, pp. 343–350.
   Google Scholar
• Dick, C., Schneider, J., and Westermann, R., 2009. Efficient geometry compression for GPU-based decoding in realtime terrain rendering. Computer Graphics Forum, 28, 67–83.
   Web of Science ®Google Scholar
• Döllner, J., Baumman, K., and Hinrichs, K., 2000. Texturing techniques for terrain visualization. In: Proceedings of the conference on Visualization’00, 8–13 October 2000. Salt Lake City, UT: IEEE Computer Society Press and ACM, pp. 227–234.
   Google Scholar
• Durdević, D.M. and Tartalja, I.I., 2013. HFPaC: GPU friendly height field parallel compression. GeoInformatica, 17, 207–233.
   Web of Science ®Google Scholar
• ESRI, 2013. ESRI home page. Available from: http://www.esri.com [Accessed 23 July 2013].
   Google Scholar
• Gioia, P., Aubault, O., and Bouville, C., 2004. Real-time reconstruction of wavelet-encoded meshes for view-dependent transmission and visualization. IEEE Transactions on Circuits and Systems for Video Technology, 14, 1009–1020.
   Web of Science ®Google Scholar
• Gobbetti, E., et al., 2006. C-BDAM-compressed batched dynamic adaptive meshes for terrain rendering. Computer Graphics Forum, 25, 333–342.
   Web of Science ®Google Scholar
• Google, 2013. Google earth home page. Available from: http://www.google.com/earth/index.html [Accessed 23 July 2013].
   Google Scholar
• Goss, M.E. and Yuasa, K., 1998. Texture tile visibility determination for dynamic texture loading. In: Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware, August 31–September 01, 1998. Lisbon: ACM, pp. 55–60.
   Google Scholar
• Hayat, K., Puech, W., and Gesquière, G., 2008. Scalable 3-D terrain visualization through reversible JPEG2000-Based Blind Data Hiding. IEEE Transactions on Multimedia, 10, 1261–1276.
   Web of Science ®Google Scholar
• Hwa, L.M., Duchaineau, M.A., and Joy, K.I., 2005. Real-time optimal adaptation for planetary geometry and texture: 4–8 tile hierarchies. IEEE Transactions on Visualization and Computer Graphics, 11, 355–368.
   PubMed Web of Science ®Google Scholar
• Kim, J.K. and Ra, J.B., 2004. A real-time terrain visualization algorithm using wavelet-based compression. The Visual Computer, 20, 67–85.
   Web of Science ®Google Scholar
• Lin, N.H., Huang, T.H., and Chen, B.Y., 2007. 3D model streaming based on jpeg 2000. IEEE Transactions on Consumer Electronics, 53, 182–190.
   Web of Science ®Google Scholar
• Lindstrom, P. and Cohen, J.D., 2010. On-the-fly decompression and rendering of multiresolution terrain. In: Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games, 19–21 February 2010. Washington, DC: ACM, pp. 65–73.
   Google Scholar
• Losasso, F. and Hoppe, H., 2004. Geometry clipmaps: terrain rendering using nested regular grids. ACM Transactions on Graphics (TOG), 23, 769–776.
   Web of Science ®Google Scholar
• Microsoft, 2013. Microsoft flight simulator home page. Available from: http://www.microsoft.com/games/flight [Accessed 23 July 2013].
   Google Scholar
• Olanda, R., Pérez, M., and Orduña, J.M., 2011. A new terrain data compression scheme for interactive terrain visualization systems. In: Proceedings of the international conference on computer graphics theory and applications, GRAPP, 5–7 March 2011. Vilamoura: SciTePress Science and Technology Publications, pp. 280–285.
   Google Scholar
• Pajarola, R. and Gobbetti, E., 2007. Survey of semi-regular multiresolution models for interactive terrain rendering. The Visual Computer, 23, 583–605.
   Web of Science ®Google Scholar
• Park, I.K., et al., 2009. Efficient design and implementation of visual computing algorithms on the GPU. In: Proceedings of the 16th IEEE international conference on image processing (ICIP), 7–12 November 2009. Cairo: IEEE, pp. 2321–2324.
   Google Scholar
• Royan, J., et al., 2007. Network-based visualization of 3d landscapes and city models. IEEE Computer Graphics and Applications, 27, 70–79.
   PubMed Web of Science ®Google Scholar
• Schneider, J. and Westermann, R., 2006. GPU-friendly high-quality terrain rendering. WSCG, 14, 49–56.
   Google Scholar
• Tanimoto, S. and Pavlidis, T., 1975. A hierarchical data structure for picture processing. CGIP, 4(2), 104–119.
   Google Scholar
• Tanner, C.C., Migdal, C.J., and Jones, M.T., 1998. The clipmap: a virtual mipmap. In: Proceedings of the 25th annual conference on computer graphics and interactive techniques, 19–24 July 1998. Orlando: ACM, pp. 151–158.
   Google Scholar
• Tenllado, C., et al., 2008. Parallel implementation of the 2D discrete wavelet transform on graphics processing units: filter bank versus lifting. IEEE Transactions on Parallel and Distributed Systems, 19, 299–310.
   Web of Science ®Google Scholar
• USGS, 2013. USGS home page. Available from: http://www.usgs.gov [Accessed 23 July 2013].
   Google Scholar
• van der Laan, W.J., Jalba, A.C., and Roerdink, J.B., 2011. Accelerating wavelet lifting on graphics hardware using CUDA. IEEE Transactions on Parallel and Distributed Systems, 22, 132–146.
   Web of Science ®Google Scholar
• Weib, A., et al., 2013. CUJ2K: a JPEG2000 encoder in CUDA. Available from: http://mirror.transact.net.au/sourceforge/c/project/cu/cuj2k/cuj2kdocumentation.pdf [Accessed 23 July 2013].
   Google Scholar
• Wong, T.T., et al., 2007. Discrete wavelet transform on consumerlevel graphics hardware. IEEE Transactions on Multimedia, 9, 668–673.
   Web of Science ®Google Scholar
• Yusov, E. and Turlapov, V., 2008. JPEG2000-based compressed multiresolution model for real-time large scale terrain visualization. In: Proceedings of the 18th international conference on computer graphics and vision, Graphi-Con, 23–27 June 2008. Moscow: Graphicon, pp. 164–171.
   Google Scholar