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Automatic FLIR resolution measurement using fuzzy logic and neural networks

Award Information

Agency:
Department of Defense 		Branch:
Army 		Award ID:
26342 		Program Year/Program:
1995 / SBIR
Agency Tracking Number:
26342 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Pacific-sierra Research Corp.
2901 28th St Suite 300 Santa Monica, CA 90405
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1995
Title: Automatic FLIR resolution measurement using fuzzy logic and neural networks
Agency / Branch: DOD / ARMY
Contract: N/A
Award Amount: $596,933.00
 

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.

Principal Investigator:

Gordon O. Moe
5166201201

Business Contact:

Small Business Information at Submission:

Pacific-sierra Research Corp
2901 28th Street Santa Monica, CA 90405

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No