Automated minimum resolvable temperature (AMRT): lessons learned

Harold J. Orlando; Michael L. Pappas

doi:10.1117/12.180080

8 July 1994 Automated minimum resolvable temperature: lessons learned

Harold J. Orlando, Michael L. Pappas

Proceedings Volume 2224, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing V; (1994) https://doi.org/10.1117/12.180080
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

The automated minimum resolvable temperature (AMRT) test method for IR sensor performance testing is developing into an accepted method of automated test. This paper gives the basis of testing AMRT and shows how it relates to the manual measurement that has been correlated to field performance. The lessons learned as a result of implementing AMRT at Northrop are reported in this paper. These lessons are discussed in the areas of developing algorithms and methodologies which work well in the typical noise environment. Improved methods have been developed to give a better measure of signal response in the presence of many kinds of noise. Various types of noise measurements are addressed as well as their impact on the resulting AMRT.

Citation Download Citation

Harold J. Orlando and Michael L. Pappas "Automated minimum resolvable temperature: lessons learned", Proc. SPIE 2224, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing V, (8 July 1994); https://doi.org/10.1117/12.180080

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