Modeling MRT for well-characterized thermal imagers

Stephen D. Burks; Joseph P. Reynolds; Kenneth Garner

doi:10.1117/12.885140

9 May 2011 Modeling MRT for well-characterized thermal imagers

Stephen D. Burks, Joseph P. Reynolds, Kenneth Garner

Proceedings Volume 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII; 801408 (2011) https://doi.org/10.1117/12.885140
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Stephen D. Burks, Joseph P. Reynolds, and Kenneth Garner "Modeling MRT for well-characterized thermal imagers", Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 801408 (9 May 2011); https://doi.org/10.1117/12.885140

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