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Multi-Sensor Automated Ship and Small Craft Classification Tools

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
92630
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
N092-103-0105
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Lambda Science, Inc.
P.O. Box 238 Wayne, PA 19087-0238
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Multi-Sensor Automated Ship and Small Craft Classification Tools
Agency / Branch: DOD / NAVY
Contract: N68335-09-C-0457
Award Amount: $80,000.00
 

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.

Principal Investigator:

Joseph G. Teti, Jr.
Chief Scientist
6105817940
jgteti@lamsci.com

Business Contact:

Joseph G. Teti, Sr.
Vice President
6105817940
jteti@lamsci.com
Small Business Information at Submission:

LAMBDA SCIENCE, INC.
P.O. Box 238 Wayne, PA 19087

EIN/Tax ID: 232805792
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No