Real-time Model Based Target Recognition System

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-05-C-0156
Agency Tracking Number: N051-030-1181
Amount: $79,954.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: N05-030
Solicitation Number: 2005.1
Small Business Information
1690 38th Street, Boulder, CO, 80301
DUNS: 147280127
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mark Tabb
 Senior research scientist
 (303) 583-0258
 Tabb@vexcel.com
Business Contact
 Paul Bodnar
Title: VP Finance
Phone: (303) 583-0225
Email: bodnar@vexcel.com
Research Institution
N/A
Abstract
Vexcel proposes to develop a model based automatic target recognition system capable of accurate, real-time recognition rates even in the presence of limited physical training data. Potential targets include any object for which accurate 3-D CAD models can be derived including, but not limited to: tanks, troop carriers, Humvees, aircraft carriers, frigates, etc. The proposed system is envisioned as a slimmed down, real-time version of the existing DARPA MSTAR ATR system, which is a feature based ATR approach that addresses the limited training data problem through the use of a Predict module which can produce expected SAR images given a target CAD model and a number of radar parameters. Features from expected images are then matched against features from the acquired image. Employing a proven ATR paradigm minimizes a substantial amount of risk, and also allows us to use the existing Predict module, as this would be impractical to develop during a Phase I feasibility study.

* Information listed above is at the time of submission. *

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