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Machine Learning for Robust Automatic Target Recognition

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
67785
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F041-230-2048
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 01801-6562
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: Machine Learning for Robust Automatic Target Recognition
Agency / Branch: DOD / USAF
Contract: FA8650-04-M-1660
Award Amount: $99,980.00
 

Abstract:

The primary issue faced by ATR systems center around the large "variability of the ATR problem space spanned by the targets, sensors, and the environment and the associated challenge is to develop "robust" approaches to improve ATR system performance. Addressing this challenge, the objectives of this project (Phases I and II) are an investigation and demonstration of prototype algorithms to improve ATR robustness. A common theme underlying robust decision making algorithms is learning from real data which can be accomplished by propagation, interaction, and switching amongst multiple models leading to composite or generalized global models that provide robust and reliable estimates and ATR decisions. We will develop both statistical learning and machine learning based approaches for robust ATR This project will also involve a series of demonstrations, where generalization is conducted over EOC conditions at both the raw data (pixel/intensity) level, and the feature level. Testing at these various levels will account for EOC factors, including clutter and noise variations, minor design differences, pose, revetment, partial obscurations, and articulation of movable parts, etc. The project team consists of Scientific Systems Company, Inc. (SSCI), Woburn MA, and its subcontractor Lockheed Martin Tactical Systems (LMTS), Eagan MN.

Principal Investigator:

B. Ravichandran
Manager, R & D
7819335355
ravi@ssci.com

Business Contact:

Raman Mehra
President
7819335355
rkm@ssci.com
Small Business Information at Submission:

SCIENTIFIC SYSTEMS CO., INC.
500 West Cummings Park - Ste 3000 Woburn, MA 01801

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No