NEURAL NETWORKS FOR OBJECT DETECTION FROM ALL-SOURCE IMAGERY

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$49,971.00
Award Year:
1990
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
12637
Agency Tracking Number:
12637
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6811 Kenilworth Ave - #306, Riverdale, MD, 20737
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
David Lavine
(301) 927-3223
Business Contact:
() -
Research Institute:
n/a
Abstract
LNK PROPOSES TO STUDY THE APPLICATION OF NEURAL NETWORKS TO OBJECT DETECTION FROM ALL-SOURCE IMAGERY. IN PHASE I EXISTING ARTIFICIAL NEURAL NETWORKS (ANNS) WILL BE EVALUATED ON OBJECT DETECTION PROBLEMS. THE STRENGTHS AND SHORTCOMINGS OF THESE TECHNIQUES WILL BE ASSESED AND NEW ANNS WILL BE DEVELOPED AS NECESSARY. AMONG THE TYPES OF NEW ANNS TO BE CONIDERED ARE HYBRID MODELS, WHICH MAY CONTAIN SEVERAL EXISTING OR NEW TYPES OF NEURAL NETWORKS, LINKED TOGETHER TO ENABLE SPECIFIC TYPES OF ANNS TO BE TAILORED TO PARTS OF A PROBLEM FOR WHICH THEY ARE MOST SUITABLE. IN ORDER TO USE IMAGERY FROM MULTIPLE SOURCES, THE IMAGERY MUST BE REGISTERED. LNK HAS DEVELOPED REGISTRATION TECHNIQUES FOR MATCHING IMAGES FROM DISSIMILAR SENSORS AND FOR MATCHING IMAGES AND MAPS. THESE TECHNIQUE WILL BE EMPLOYED AS NECESARY IN THE SYSTEM. IN PHASE II A USEABLE SYSTEM FOR OBJECT DETECTION WILL BE DEVELOPED USING THE BEST MODEL OR MODELS INVESTIGATED IN PHASE I.

* information listed above is at the time of submission.

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