Computing the probability of target detection in infrared and visual scenes using the fuzzy logic a

摘要

Abstract: The probability of detection (Pd) of targets in infrared and visually cluttered scenes is computed using the Fuzzy Logic Approach (FLA). The FLA is presented by the authors as a robust and high fidelity method for the computation and prediction of the Pd of targets. The Mamdani/Assilian, Sugeno and Neurofuzzy-based models have been investigated. A limited data set of visual imagery has been used to model the relationships between several input parameters; the contrast, camouflage condition, range, aspect, width, and experimental Pd. The fuzzy and neuro-fuzzy models gave predicted Pd values that had 0.98 correlation to the experimental Pd's. The results obtained indicate the robustness of the fuzzy-based modeling techniques and the applicability of the FLA to those types of problems having to do with the modeling of human object detection and perception in any spectral regime.!22