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A Synergic Expert-Neural Network System to Identify Relocatable Targets using…

Award Information

Agency:
Department of Defense 		Branch:
Navy 		Award ID:
18207 		Program Year/Program:
1993 / SBIR
Agency Tracking Number:
18207 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
LNK CORP., INC.
6811 Kenilworth Avenue, Suite 306 Riverdale, MD 20737
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Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1993
Title: A Synergic Expert-Neural Network System to Identify Relocatable Targets using Multi-Sensor Fusion
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $465,630.00
 

Abstract:

The central focus of this proposal is on building an automatic target recognition system for identifyi-ng relocatable targets by integrating information from multiple sensors using a synergistic framework of neural networks and exprt systems. This frairework is ideally suited for 3..ricorporating human expertise of both perceptual and qualitative reasoning processes . From our prior experience in this area (NADC N62269-90-C-0567), we find the key to an efficient solutLon lies in using a composite architecture conbining an e)q.rt system with a hybrid neural subsystem. We propose a th ^ elevel processing system for identi- fying the relocatable targets. Th- first level of %is system addresses issues related to data representa^Lon and registration ljetween sources . The second level achieves feature extraction and parbLal recognition results using neural networks. Die third level consists of a decision maki-ng expert system wLth fuzzy logic reasonlng to achieve a collectLve decision from the multi.ple sources using an object-oriented representaLLon of the target.

Principal Investigator:

Dr. Srinivasan Raghavan
3019273223

Business Contact:

Small Business Information at Submission:

Lnk Corp., Inc.
6811 Kenilworth Avenue Riverdale, MD 20737

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