We present an interactive spherical terrain rendering system employing a hierarchical subdivision of the HEALPix coordinate system using quadtrees. Compared to other parameterizations, the scheme avoids singularities and allows for efficient fusion of mixed-resolution digital elevation models and imagery. A Level-of-Detail heuristic is used to guarantee both high performance and visual fidelity. Unified treatment of DEM and imagery data is achieved by performing the HEALPix projection within a GPU shader. The system is applied to the exploration of Mars, using both MOLA (NASA) and HRSC (German Aerospace Center) data sets.
@InProceedings{westerteiger_et_al:OASIcs.VLUDS.2011.13, author = {Westerteiger, Rolf and Gerndt, Andreas and Hamann, Bernd}, title = {{Spherical Terrain Rendering using the hierarchical HEALPix grid}}, booktitle = {Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011}, pages = {13--23}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-939897-46-0}, ISSN = {2190-6807}, year = {2012}, volume = {27}, editor = {Garth, Christoph and Middel, Ariane and Hagen, Hans}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.13}, URN = {urn:nbn:de:0030-drops-37389}, doi = {10.4230/OASIcs.VLUDS.2011.13}, annote = {Keywords: terrain rendering} }
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