Share Email Print

Optical Engineering

Computing the probability of target detection in dynamic visual scenes containing clutter using fuzzy logic approach
Author(s): Thomas J. Meitzler; Regina W. Kistner; William T. Pibil; Eui Jung Sohn; Darryl Bryk; David Bednarz
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

The probability of detection (Pd) of moving targets in visually cluttered scenes is computed using the fuzzy logic approach (FLA). The FLA is presented as a robust method for the computation and prediction of the Pd of targets in cluttered scenes with sparse data. A limited data set of visual imagery is used to model the relationships between several input parameters: the contrast, vehicle camouflage, range, aspect, width, and experimental Pd. The fuzzy and neurofuzzy models provide predicted Pd values that have 0.9 correlation with the experimental Pd's. The results obtained indicate the robustness of the fuzzy-based modeling techniques and the potential applicability of the FLA to those types of problems that have to do with the modeling of aided or unaided detection of a signal (acoustic, electromagnetic) in any spectral regime.

Paper Details

Date Published: 1 July 1998
PDF: 9 pages
Opt. Eng. 37(7) doi: 10.1117/1.601847
Published in: Optical Engineering Volume 37, Issue 7
Show Author Affiliations
Thomas J. Meitzler, U.S. Army Tank-Automotive and Armarments Command (United States)
Regina W. Kistner, U.S. Army Materiel Systems Analysis Activity (United States)
William T. Pibil, US Army Material Systems (United States)
Eui Jung Sohn, U.S. Army Tank-Automotive Command (United States)
Darryl Bryk, U.S. Army Tank-Automotive Command (United States)
David Bednarz, U.S. Army Tank-Automotive Command (United States)

© SPIE. Terms of Use
Back to Top