Abstract
The sampling limitations associated with staring array imagers cause an aliased signal, or spurious response, that corrupts the image. The spurious response is a function of pre-sample blur, sampling frequency, and post-blur or image reconstruction. Based on data from two NVESD perception experiments, the MTF Squeeze model was developed in order to model the effects of sampling artifacts on target recognition and identification performance. This paper uses MTF Squeeze model to evaluate target acquisition sensor design. A sensitivity analysis is performed where various pre-sample blur and post sample blur spots were considered in order to optimize sensor pre-sample MTF and post-sample MTF for the target recognition and target identification tasks. These results are compared to Schade's, Legault's, and Sequinn's criteria and suggestions are provided as guidance in sensor design.
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