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Proceedings Paper

Analytic Modeling Of Staring Infrared Systems With Multidimensional Matched Filters
Author(s): D. A. Scribner; M. S. Longmire; M. R. Kruer
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Paper Abstract

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.

Paper Details

Date Published: 3 May 1988
PDF: 11 pages
Proc. SPIE 0890, Infrared Systems and Components II, (3 May 1988); doi: 10.1117/12.944273
Show Author Affiliations
D. A. Scribner, Electro-optical Technology Branch (United States)
M. S. Longmire, Electro-optical Technology Branch (United States)
Western Kentucky University (United States)
M. R. Kruer, Electro-optical Technology Branch (United States)


Published in SPIE Proceedings Vol. 0890:
Infrared Systems and Components II
H.M. Charles Liaw, Editor(s)

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