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Proceedings Paper

Infrared imagery acquisition process supporting simulation and real image training
Author(s): John O'Connor
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Paper Abstract

The increasing use of infrared sensors requires development of advanced infrared training and simulation tools to meet current Warfighter needs. In order to prepare the force, a challenge exists for training and simulation images to be both realistic and consistent with each other to be effective and avoid negative training. The US Army Night Vision and Electronic Sensors Directorate has corrected this deficiency by developing and implementing infrared image collection methods that meet the needs of both real image trainers and real-time simulations. The author presents innovative methods for collection of high-fidelity digital infrared images and the associated equipment and environmental standards. The collected images are the foundation for US Army, and USMC Recognition of Combat Vehicles (ROC-V) real image combat ID training and also support simulations including the Night Vision Image Generator and Synthetic Environment Core. The characteristics, consistency, and quality of these images have contributed to the success of these and other programs. To date, this method has been employed to generate signature sets for over 350 vehicles. The needs of future physics-based simulations will also be met by this data. NVESD's ROC-V image database will support the development of training and simulation capabilities as Warfighter needs evolve.

Paper Details

Date Published: 4 May 2012
PDF: 6 pages
Proc. SPIE 8403, Modeling and Simulation for Defense Systems and Applications VII, 840305 (4 May 2012); doi: 10.1117/12.917095
Show Author Affiliations
John O'Connor, U.S. Army Night Vision & Electronic Sensors Directorate (United States)

Published in SPIE Proceedings Vol. 8403:
Modeling and Simulation for Defense Systems and Applications VII
Eric J. Kelmelis, Editor(s)

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