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.!10
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