Real-time Model Based Target Recognition System

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,954.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N68335-05-C-0156
Award Id:
75107
Agency Tracking Number:
N051-030-1181
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1690 38th Street, Boulder, CO, 80301
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
147280127
Principal Investigator:
MarkTabb
Senior research scientist
(303) 583-0258
Tabb@vexcel.com
Business Contact:
PaulBodnar
VP Finance
(303) 583-0225
bodnar@vexcel.com
Research Institute:
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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