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Proceedings Paper

Validating model predictions of MRT measurements on LWIR imaging systems
Author(s): Stephen D. Burks; Kenneth Garner; Stephen Miller; Brian P. Teaney
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Paper 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.

Paper Details

Date Published: 22 April 2009
PDF: 7 pages
Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000D (22 April 2009); doi: 10.1117/12.819475
Show Author Affiliations
Stephen D. Burks, U.S. Army RDECOM CERDEC NVESD (United States)
Kenneth Garner, U.S. Army RDECOM CERDEC NVESD (United States)
Stephen Miller, U.S. Army RDECOM CERDEC NVESD (United States)
Brian P. Teaney, U.S. Army RDECOM CERDEC NVESD (United States)


Published in SPIE Proceedings Vol. 7300:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX
Gerald C. Holst, Editor(s)

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