Paper
17 August 1994 Terrain modeling with uncertainty for geographic information systems
Miguel Angel Garcia
Author Affiliations +
Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182853
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
Abstract
This paper presents the application of a recently developed geometrical modeling technique to the representation of natural terrain for geographic information systems. The original method allows the approximation of 3D irregular triangular meshes with smooth parametric surfaces (Garcia, 1993). This method behaves rather similarly to traditional tensor-product schemes, such as NURBS, but operates upon irregular meshes of control points. The obtained surfaces can be locally modified through weighting factors associated with the control points. This paper proposes the use of those factors to represent geometrical uncertainty. The original method was extended afterwards (Garcia, 1994) allowing the interpolation of triangular meshes. The current paper reviews both techniques and introduces a unified model that integrates them into a single representational tool. The theoretical concepts are illustrated with several examples that include real terrain models.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miguel Angel Garcia "Terrain modeling with uncertainty for geographic information systems", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182853
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KEYWORDS
Modeling

Geographic information systems

Systems modeling

3D modeling

Adaptive optics

Sensors

Artificial intelligence

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