Validating model predictions of MRT measurements on LWIR imaging systems

Stephen D. Burks; Kenneth Garner; Stephen Miller; Brian P. Teaney

doi:10.1117/12.819475

22 April 2009 Validating model predictions of MRT measurements on LWIR imaging systems

Stephen D. Burks, Kenneth Garner, Stephen Miller, Brian P. Teaney

Proceedings Volume 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX; 73000D (2009) https://doi.org/10.1117/12.819475
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

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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