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Proceedings Paper

Automated minimum resolvable temperature test implementation
Author(s): Harold J. Orlando; Michael L. Pappas; Gerald C. Holst
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Paper Abstract

Automated test methods have been developed and implemented which provide a high degree of correlation with average manual test results using human observers. The results of this effort are given in this paper using the presently implemented MRT models. New data using the FLIR92 3-D noise model are also presented which offer a more detailed description of sensor noise over previous implementations. This improves the accuracy of automated MRT and will facilitate testing of scanning time delay and integration (TDI) and staring array thermal imaging sensors in the future.

Paper Details

Date Published: 22 May 1995
PDF: 6 pages
Proc. SPIE 2470, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VI, (22 May 1995); doi: 10.1117/12.210054
Show Author Affiliations
Harold J. Orlando, Northrop Grumman Corp. (United States)
Michael L. Pappas, Northrop Grumman Corp. (United States)
Gerald C. Holst, EO Technologies (United States)


Published in SPIE Proceedings Vol. 2470:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VI
Gerald C. Holst, Editor(s)

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