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Compressive Sensing for DCGS-N

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
N12A-026-0199
Solicitation Year:
2012
Solicitation Topic Code:
N12A-T026
Solicitation Number:
2012.A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801-
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Compressive Sensing for DCGS-N
Agency / Branch: DOD / NAVY
Contract: N00014-12-M-0375
Award Amount: $79,999.00
 

Abstract:

Compressive sensing (CS) is a relatively new form of data sampling that shows promise to greatly reduce the amount of information required to acquire and reconstruct information from sources such as synthetic aperture radar (SAR) imagery, electro-optical (EO) imagery, and RF data. CS has interesting practical applications in processing/exploitation of imagery, signals, and other structured data. SSCI has applied CS-based processing to the formation of SAR imagery from phase-history data that has been degraded by interruptions in the SAR data collect. SSCI"s CS-based image formation algorithm provides imagery having nearly optimum image quality (IQ) from a significantly reduced amount of data. SSCI has also demonstrated CS-based image formation of EO data, obtaining excellent EO imagery from highly compressed data. The IQ of CS-compressed SAR and EO imagery is sufficient for exploitation by DCGS-N image analysts. SAR exploitation modes include coherent/non-coherent change detection, automatic and analyst assisted target recognition, target tracking, etc.; EO exploitation modes include Wide Area Motion Imaging (WAMI), visual target ID, target tracking, EO change detection, etc. CS-based processing of the imagery permits the detection, classification and estimation functions with reduced dimensionality, providing increased operational rates over the original sources.

Principal Investigator:

Les Novak
Principal Investigator
(781) 933-5355
lnovak@ssci.com

Business Contact:

Jay Miselis
Corporate Controller
(781) 933-5355
contracts@ssci.com
Small Business Information at Submission:

Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA -

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
Research Institution Information:
Wright State University
Office of Research
3640 Colonel Glenn Hwy.
Dayton, OH 45435-0001
Contact: Brian D. Rigling
Contact Phone: (937) 775-5100