Adaptive Approach Application for Two-Spectral Detection of Low Contrasting Objects in Infrared Range

Based on the Bayes’ adaptive approach and different a priori parameters uncertainty in case of the Gaussian model of analyzed stochastic processes, the decision rules for the two-spectral detection of radiating and contrasting objects are obtained. The threshold signal losses, due to a priori uncertainty of parameters of the object and background signals, are given.