Minimum resolvable temperature (MRT) is a subjective test technique used to demonstrate the performance of thermal imaging sensors with human observers. To measure MRT, an automated test method that is closely related to the traditional MRT testing has been developed. Results of automated MRT testing in the consolidated automated support system (CASS) electrooptical subsystem (EOSS) are presented. The author compares the automated MRT to traditional MRT data from the same thermal imaging sensor, and describes the theory of MRT as it relates to automated testing. The reasons for developing automated MRT testing are explored, as is the motivation for promoting acceptance of this kind of testing.
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