Automatic FLIR resolution measurement using fuzzy logic and neural networks

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$596,933.00
Award Year:
1995
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
26342
Agency Tracking Number:
26342
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2901 28th Street, Santa Monica, CA, 90405
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Gordon O. Moe
(516) 620-1201
Business Contact:
() -
Research Institute:
n/a
Abstract
Pacific-Sierra Research Corporation (PSR) proposes to utilize fuzzy logic to map Boundary Contour System (BCS)/Feature Contour System (FCS) output signtals to a "can discriminate"/"cannot discriminate" visual cognitive decision model. A set of FLIR images and corresponding human discrimination decision results will be utilized as training data for a fuzzy logic mapping network. Detection thresholds could be based on local statistical measures of BCS boundary strength or on more global statistical measures of FCS brightness levels inside and outside of the test bars. Which measure to employ depends upon reports from subjects regarding their detection strategy, as well as correlations between psychophysical detection thresholds and statistical variations in the BCS/FCS data representation. This will be a subject of the proposed research.

* information listed above is at the time of submission.

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