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Proceedings Paper

Virtual DRI dataset development
Author(s): Jonathan G. Hixson; Brian P. Teaney; Christopher May; Tana Maurer; Michael B. Nelson; Justin R. Pham
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Paper Abstract

The U.S. Army RDECOM CERDEC NVESD MSD’s target acquisition models have been used for many years by the military analysis community for sensor design, trade studies, and field performance prediction. This paper analyzes the results of perception tests performed to compare the results of a field DRI (Detection, Recognition, and Identification Test) performed in 2009 to current Soldier performance viewing the same imagery in a laboratory environment and simulated imagery of the same data set. The purpose of the experiment is to build a robust data set for use in the virtual prototyping of infrared sensors. This data set will provide a strong foundation relating, model predictions, field DRI results and simulated imagery.

Paper Details

Date Published: 3 May 2017
PDF: 9 pages
Proc. SPIE 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII, 101780Q (3 May 2017); doi: 10.1117/12.2262736
Show Author Affiliations
Jonathan G. Hixson, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Brian P. Teaney, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Christopher May, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Tana Maurer, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Michael B. Nelson, Saint John's Univ. (United States)
Justin R. Pham, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 10178:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII
Gerald C. Holst; Keith A. Krapels, Editor(s)

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