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Proceedings Paper

Computing the probability of target detection in infrared and visual scenes using the fuzzy logic approach
Author(s): Thomas J. Meitzler; Harpreet Singh; Labib Arefeh; Grant R. Gerhart; Eui Jung Sohn
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Paper 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.

Paper Details

Date Published: 16 June 1997
PDF: 10 pages
Proc. SPIE 3063, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII, (16 June 1997); doi: 10.1117/12.276071
Show Author Affiliations
Thomas J. Meitzler, U.S. Army Tank-Automotive Command (United States)
Harpreet Singh, Wayne State Univ. (United States)
Labib Arefeh, College of Engineering and Technology (Israel)
Grant R. Gerhart, U.S. Army Tank-Automotive Command (United States)
Eui Jung Sohn, U.S. Army Tank-Automotive Command (United States)


Published in SPIE Proceedings Vol. 3063:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII
Gerald C. Holst, Editor(s)

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