A multispectral terrain database development process to support legacy mission simulation environments

James M. Zeh; Dan Caudill; Bret Givens; Rob Subr; Brian Miller; Eric Lester; Karl Spuhl

doi:10.1117/12.498243

5 September 2003 A multispectral terrain database development process to support legacy mission simulation environments

James M. Zeh, Dan Caudill, Bret Givens, Rob Subr, Brian Miller, Eric Lester, Karl Spuhl

Proceedings Volume 5075, Targets and Backgrounds IX: Characterization and Representation; (2003) https://doi.org/10.1117/12.498243
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The Air Force Research Laboratory, Air Vehicles Directorate, Control Sciences Division, AFRL/VAC, has developed a process for constructing large-area 3-D multispectral terrain databases to support Simulation Based R&D (SBR&D) concept development simulation, research and T&E activities. The Multispectral database (MsDB) development effort was intended to investigate a database development approach built from multispectral/hyperspectral imagery and elevation data that also incorporates material classification data capable of supporting realistic out-the-window visual and multispectral terrain displays, weapons/sensor models, and cockpit representations immerse the warfighter, scientist, analyst, and testers into a dynamic environment suitable for engineering level test and evaluation of a multitude of systems. This paper also covers integration of the MsDB with Paint the Night IR Scene Generation; integration with Mutli-Mode Radar Simulation (MMRS), which provides Synthetic Aperture Radar Simulation; and integration with SubrScene, which provides Out-The-Window Scene generation.

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James M. Zeh, Dan Caudill, Bret Givens, Rob Subr, Brian Miller, Eric Lester, and Karl Spuhl "A multispectral terrain database development process to support legacy mission simulation environments", Proc. SPIE 5075, Targets and Backgrounds IX: Characterization and Representation, (5 September 2003); https://doi.org/10.1117/12.498243

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KEYWORDS

Databases

Earth observing sensors

Image processing

Landsat

Visualization

Data modeling

Sensors

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