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22 May 1995 Automated minimum resolvable temperature test implementation
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harold J. Orlando, Michael L. Pappas, and Gerald C. Holst "Automated minimum resolvable temperature test implementation", Proc. SPIE 2470, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VI, (22 May 1995); https://doi.org/10.1117/12.210054
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