Paper
19 July 1999 From digital elevation model data to terrain depiction data
Arnd Helmetag, Guillaume Smietanski, Michael Baumgart, Wolfgang Kubbat
Author Affiliations +
Abstract
The analysis of accidents focused our work on the avoidance of 'Controlled Flight Into Terrain' caused by insufficient situation awareness. Analysis of safety concepts led us to the design of the proposed synthetic vision system that will be described. Since most information on these 3D-Displays is shown in a graphical way, it can intuitively be seized by the pilot. One key element of SVS is terrain depiction, that is the topic of this paper. Real time terrain depiction has to face two requirements. On the one hand spatial awareness requires recognition of synthetic environment demanding characteristics. On the other hand the number of rendered polygons has to be minimized due to limitations of real time image generation performance. Visual quality can significantly be enhanced if equidistant data like Digital Elevation Model data (DEM) are vectorized. One method of data vectorization will be explained in detail and advantages will be mentioned. In Virtual Reality (VR) applications, conventional decimation software degrades the visual quality of geometry that is compensated by complex textures and lighting. Since terrain decimated with those tools looses its characteristics, and textures are not acceptable for several reasons, a terrain specific decimation has to be performed. How can a Digital Elevation Model (DEM) be decimated without decreasing the visualization value? In this paper, extraction of terrain characteristics and adapted decimation will be proposed. Steps from DEM to Terrain Depiction Data (TDD) are discussed in detail.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arnd Helmetag, Guillaume Smietanski, Michael Baumgart, and Wolfgang Kubbat "From digital elevation model data to terrain depiction data", Proc. SPIE 3691, Enhanced and Synthetic Vision 1999, (19 July 1999); https://doi.org/10.1117/12.354431
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Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Data modeling

Raster graphics

Zoom lenses

Geographic information systems

Safety

Synthetic vision

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