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26 April 2011 Sampling-balanced system for point target detection
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Abstract
Image acquired by an electro-optical system is spatially prefiltered by the optics, than sampled by the detector and finally postfiltered digitally during image processing. A method is presented for maximizing system performance by derivation of an optimal Whitening Matched post-Filter (WMF). The derivation of the WMF is based on combining clutter aliasing, misregistration, detector noise and target aliasing into a unified 'colored' noise. Further system optimization is achieved by modification of the optical point spread function (prefilter) so 'sampling balanced' configuration is achieved. In this configuration undersampling noise mechanisms (Aliasing and misregistration) and oversampling noise mechanisms (detector noise) are balanced to contribute equal magnitude. The performance of sampling-balanced system having WMF is compared to conventional systems for point target detection. It is shown that this system is the optimal and most robust in case of variations in scenario parameters.
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Yochay Danziger "Sampling-balanced system for point target detection", Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550N (26 April 2011); https://doi.org/10.1117/12.888671
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