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Automatic Target Recognition for Joint STARS Using Flexible Template Matching…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
25783
Program Year/Program:
1994 / SBIR
Agency Tracking Number:
25783
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1994
Title: Automatic Target Recognition for Joint STARS Using Flexible Template Matching and Genetic Algorithms
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $58,909.00
 

Abstract:

The success of C3I and battle management systems depends critically on their ability to perform automatic target recognition (ATR) and hostile target identification (HTI). The technologies of sensor data fusion and adaptive signal processing including intelligent imaging are key to the success of ATR and HTI. An innovative approach to intelligent imaging and target recognition is proposed using methods of Bayesian classification, Flexible Template Matching (FTM), and Genetic Algorithms (GA). The overall ATR problem under low SNR conditions is formulated as a model-based stochastic maximaization problem. The global maxima are found using a Genetic Algorithm. A Nueral Network (NN) approach is used for detection and preclassification to reduce the number of false alarms. The FTM-GA-NN approach will be applied to real radar data representative of that generated by the current Joint STARS system and/or near-term technologically feasible enhancements to the Joint STARS system to classify targets into tanks, trucks, and helicopters. Norden Systems, Inc., the designer and manufacturer of the Joint STARS radar system as well as several other advanced technology radar sensors, will support Scientific Systems during Phases I and II for R&D and during Phase III for commercialization of the innovative signal processing algorithms.

Principal Investigator:

Dr R. K. Mehra/dr S. Mahm
6179335355

Business Contact:

Small Business Information at Submission:

Scientific Systems Company,
500 West Cummings Park, Suite 3950 Woburn, MA 01801

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