Paper
22 April 2009 Validating model predictions of MRT measurements on LWIR imaging systems
Stephen D. Burks, Kenneth Garner, Stephen Miller, Brian P. Teaney
Author Affiliations +
Abstract
The predicted Minimum Resolvable Temperature (MRT) values from five MRT models are compared to the measured MRT values for eighteen long-wave thermal imaging systems. The most accurate model, which is based upon the output of NVTherm IP, has an advantage over the other candidate models because it accounts for performance degradations due to blur and bar sampling. Models based upon the FLIR 92 model tended to predict overly optimistic values for all frequencies. The earliest models for MRT's for staring arrays did not incorporate advanced eye effects and had the tendency to provide pessimistic estimates as the frequency approached the Nyquist limit.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen D. Burks, Kenneth Garner, Stephen Miller, and Brian P. Teaney "Validating model predictions of MRT measurements on LWIR imaging systems", Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000D (22 April 2009); https://doi.org/10.1117/12.819475
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Cited by 3 scholarly publications.
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KEYWORDS
Eye models

Systems modeling

Thermal modeling

Sensors

Eye

Forward looking infrared

Imaging systems

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