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Proceedings Paper

Modeling MRT for well-characterized thermal imagers
Author(s): Stephen D. Burks; Joseph P. Reynolds; Kenneth Garner
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Paper Abstract

Predicting an accurate Minimum Resolvable Temperature Difference (MRTD) for a thermal imaging system is often hindered by inaccurate measurements of system gain and display characteristics. Variations in these terms are often blamed for poor agreement between model predictions and measured MRTD. By averaging over repeated human measurements, and carefully recording all system parameters affecting image quality, it should be possible to make an accurate prediction of MRTD performance for any resolvable frequency. Utilizing the latest NVESD performance models with updates for noise, apparent target angle, and human vision, predicted MRT are compared with measured curves. We present results for one well characterized mid-wave thermal staring system.

Paper Details

Date Published: 10 May 2011
PDF: 11 pages
Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 801408 (10 May 2011); doi: 10.1117/12.885140
Show Author Affiliations
Stephen D. Burks, U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (United States)
Joseph P. Reynolds, U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (United States)
Kenneth Garner, U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 8014:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII
Gerald C. Holst; Keith A. Krapels, Editor(s)

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