Multi-Sensor Automated Ship and Small Craft Classification Tools

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$80,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
N68335-09-C-0457
Award Id:
92630
Agency Tracking Number:
N092-103-0105
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
P.O. Box 238, Wayne, PA, 19087
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
946893658
Principal Investigator:
Joseph Teti, Jr.
Chief Scientist
(610) 581-7940
jgteti@lamsci.com
Business Contact:
Joseph Teti, Sr.
Vice President
(610) 581-7940
jteti@lamsci.com
Research Institute:
n/a
Abstract
The current state of the art in assisted target recognition separately processes individual image frames from different sensor modalities (e.g., ISAR and EO/IR) and forms a decision based on a weighted sum of classification confidence for each modality. The request for proposal (RFP) indicates that it is desirable to investigate the potential benefit of simultaneous processing of ISAR and EO/IR with the intent of using the EO/IR data to improve the focusing of the ISAR imagery on a frame-by-frame basis. While this approach may yield improved tracking of the scatterer field for improved focusing and hence improved classification/recognition, it is possible that more robust and relatively better focusing performance could be obtained through signal processing techniques that exploit radar transmit-receive (Tx-Rx) phase center diversity. In contrast, exploitation of radar Tx-Rx phase center diversity would not require EO/IR imagery (or for that matter any other sensor data) to be needed for improved ISAR focusing.

* information listed above is at the time of submission.

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