Mr. Gerard Snyder Profile

Gerard Snyder

Program Manager at General Dynamics ATP

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Proceedings Article | 19 May 2005 Paper

High fidelity terrain models and geospatial datasets for use in distributed test environments

Gerard Snyder, Nick Gorkavyi, David Lashlee, Max Lorenzo

Proceedings Volume 5805, (2005) https://doi.org/10.1117/12.603733

KEYWORDS: LIDAR, Data modeling, 3D modeling, Vegetation, Buildings, Image resolution, Network architectures, Databases, Feature extraction, Mathematical modeling

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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.

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