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3 May 1988 Analytic Modeling Of Staring Infrared Systems With Multidimensional Matched Filters
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Proceedings Volume 0890, Infrared Systems and Components II; (1988)
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States
Methods are discussed for analytic modeling of staring autonomous infrared systems for use in point-source detection. Our analysis generally reviews frequency domain methods that can be used from a system engineering perspective to conceptually design an infrared sensor and predict its performance in conjunction with a multidimensional matched filter to perform either temporal, spatial or spatio-temporal (3-D) image processing. Specifically we will be concerned with point-source targets that have a unique temporal behavior and are embedded in background clutter. Both the signal and the clutter can have some level of apparent motion associated with them in terms of a fixed velocity. The modeling process is fully parametric and can include all salient features of a time-dependent target, stochastic back-ground, atmospheric propagation, optical system and staring infrared detector array. We show that this modeling technique lends itself very well to parametric analysis that is often very useful in design trade-offs and optimization studies. An example is given that deals with moving target detection, temporal filtering, spatial filtering, and spatio-temporal filtering.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. A. Scribner, M. S. Longmire, and M. R. Kruer "Analytic Modeling Of Staring Infrared Systems With Multidimensional Matched Filters", Proc. SPIE 0890, Infrared Systems and Components II, (3 May 1988);


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