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Proceedings Paper

High fidelity terrain models and geospatial datasets for use in distributed test environments
Author(s): Gerard Snyder; Nick Gorkavyi; David Lashlee; Max Lorenzo
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Paper Abstract

Distributed testing of a system of systems such is critical to successful development and fielding. Developmental and operational test planning, mission rehearsal, and modeling and simulation of distributed test events requires rapid generation of high-fidelity synthetic environments and geospatial databases that allow efficient transmission and portrayal over network-centric architectures and low-bandwidth communications networks. This paper describes an initiative lead by the U.S. Army Developmental Test Center to rapidly construct digital terrain and surface models using remote sensing data. The authors present methods and techniques used to generate Digital Terrain Elevation Data (DTED) Level 5 or better digital terrain models, surface object databases using Three-Dimensional (3-D) data from airborne Light Detection and Ranging (LIDAR) sensors, and mathematical operations to describe complex geospatial data objects and 3-D topology in highly-compact manners. Currently, units-of-action undergo testing within a defined Common Operating Area (COA) at a training range or proving ground. In coming years, distributed testing, with simulated scenes added to the participating systems, will occur at multiple COAs located at different test facilities. Consistent construction is required for these synthetic environments or scenes for the different facilities. The authors will present trade study results with recommendations for a uniform set of data collection requirements.

Paper Details

Date Published: 19 May 2005
PDF: 13 pages
Proc. SPIE 5805, Enabling Technologies for Simulation Science IX, (19 May 2005); doi: 10.1117/12.603733
Show Author Affiliations
Gerard Snyder, General Dynamics Armament and Technical Products (United States)
Nick Gorkavyi, Greenwich Institute for Science and Technology (United States)
David Lashlee, U.S. Army Topographic Engineering Ctr. (United States)
Max Lorenzo, U.S. Army Developmental Test Command (United States)


Published in SPIE Proceedings Vol. 5805:
Enabling Technologies for Simulation Science IX
Dawn A. Trevisani; Alex F. Sisti, Editor(s)

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