22 October 1993 Nonlinear morphological processors for point-target detection versus an adaptive linear spatial filter: a performance comparison
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Abstract
This paper presents a comparative performance evaluation of three signal processing architectures for the point-target detection problem in infrared surveillance systems. The comparison involves an adaptive linear spatial filter of the least-mean-square (LMS) type, with a median subtraction filter, and a morphological based processor. The median and morphological filters are nonlinear operators that are based on the order-statistics of the input samples. The three architectures are exercised, via computer simulation, against real deterministic data sets comprising a range of horizon backgrounds. Receiver operating characteristic (ROC) curves are presented and provide a quantitative measure for the performance comparison. Some advantages and disadvantages of each filter type are indicated, with recommendations for a hybrid architecture which incorporates the different filtering schemes.
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John T. Barnett, Barton D. Billard, Changta Lee, "Nonlinear morphological processors for point-target detection versus an adaptive linear spatial filter: a performance comparison", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157769; https://doi.org/10.1117/12.157769
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