3 May 2016 Modeling threshold detection and search for point and extended sources
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This paper deals with three separate topics. 1)The Berek extended object threshold detection model is described, calibrated against a portion of Blackwell’s 1946 naked eye threshold detection data for extended objects against an unstructured background, and then the remainder of Blackwell’s data is used to verify and validate the model. A range equation is derived from Berek’s model which allows threshold detection range to be predicted for extended to point objects against an un-cluttered background as a function of target size and adapting luminance levels. The range equation is then used to model threshold detection of stationary reflective and self-luminous targets against an uncluttered background. 2) There is uncertainty whether Travnikova’s search data for point source detection against an un-cluttered background is described by Rayleigh or exponential distributions. A model which explains the Rayleigh distribution for barely perceptible objects and the exponential distribution for brighter objects is given. 3) A technique is presented which allows a specific observer’s target acquisition capability to be characterized. Then a model is presented which describes how individual target acquisition probability grows when a specific observer or combination of specific observers search for targets. Applications for the three topics are discussed.
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Melvin Friedman, Melvin Friedman, "Modeling threshold detection and search for point and extended sources", Proc. SPIE 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII, 982004 (3 May 2016); doi: 10.1117/12.2224183; https://doi.org/10.1117/12.2224183


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