Paper
7 April 1995 Automated and rapid visual-database generation
Jacki L. Garrett
Author Affiliations +
Proceedings Volume 2410, Visual Data Exploration and Analysis II; (1995) https://doi.org/10.1117/12.205950
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
Armstrong Laboratory is focusing on software which will allow a graphics workstation to completely create and fly through a visual database anywhere in the world in under one hour, with no human intervention. This is being accomplished by utilizing the strengths of graphics workstations, rather than emulating traditional image generator methodology. Current software development allows a graphics workstation to automatically generate a flyable, two degree latitude by two degree longitude, visual database in less than five minutes from Defense Mapping Agency's DTED (digital terrain elevation data). Sources of cultural, color, and satellite digital data which could be used to improve the coloration/texture of the terrain- skin are being sought. Good feature data would then allow the development of an automated cultural population (e.g., buildings, overpasses, and rivers) of the database. These databases possess a much higher density of terrain data (approximately 450 times the usual number of terrain polygons) than traditional flight simulation databases processed from DTED source. This higher resolution provides the opportunity to research acrobatic maneuvering strategies during combat situations. Armstrong Laboratory's rapid database generation (RDG) project also incorporates a software-controlled high resolution inlay inside a lower resolution database within a single display-channel.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacki L. Garrett "Automated and rapid visual-database generation", Proc. SPIE 2410, Visual Data Exploration and Analysis II, (7 April 1995); https://doi.org/10.1117/12.205950
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KEYWORDS
Databases

Visualization

Sensors

Data modeling

Image resolution

Data storage

Satellites

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