Real-time visualization of 3D terrains and subsurface geological structures
Geological structures, both at the surface and subsurface levels, are typically represented by means of voxel data. This model presents a major drawback: its large storage requirements. In this paper, we address this problem and pro- pose the use of a stack-based representation for geological surfac...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad de Jaén |
| Repositorio: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:ruja.ujaen.es:10953/2060 |
| Acceso en línea: | https://doi.org/10.1016/j.advengsoft.2017.10.002 https://www.sciencedirect.com/science/article/abs/pii/S0965997817304830 https://hdl.handle.net/10953/2060 |
| Access Level: | acceso abierto |
| Palabra clave: | terrain modeling volume rendering GPU |
| Sumario: | Geological structures, both at the surface and subsurface levels, are typically represented by means of voxel data. This model presents a major drawback: its large storage requirements. In this paper, we address this problem and pro- pose the use of a stack-based representation for geological surface-subsurface structures. Although this representation has been mainly used for volumetric terrain visualization in previous works, it has been used as an auxiliary data structure. Therefore, our main contribution in this work is its use as a first-class representation for both processing and visualization of surface and subsurface in- formation. The proposed solution provides real-time visualization of volumetric terrains and subsurface geological structures represented as stacks using a com- pact data representation in the GPU. Different GPU memory implementations of the stacks have been described, discussing the tradeoffs between performance and storage efficiency. We also introduce a novel algorithm for the calculation of the surface normal vectors using a hybrid object-image space strategy. More- over, important features for geoscientific applications such as visualization of boreholes or geological cross sections, and selective attenuation of strata have also been implemented in a straightforward way. |
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