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Compressive Spectral Video in the LWIR

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-13-C-0077
Agency Tracking Number: A13A-015-0349
Amount: $149,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A13A-T015
Solicitation Number: 2013.A
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2013-09-26
Award End Date (Contract End Date): 2014-03-29
Small Business Information
Andover, MA 01810-1077
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Bogdan Cosofret
 Area Mgr, Information Exploitation
 (978) 689-0003
Business Contact
 B. Green
Title: President and CEO
Phone: (978) 689-0003
Research Institution
 Colorado State University
 Vincent Bogdanski
601 South Howes Street 408 University Services Center
Fort Collins, CO 80523-2002
United States

 (970) 491-6355
 Nonprofit College or University

Physical Sciences Inc. and Colorado State University will develop an innovative sensor that enables low-cost infrared hyperspectral imaging though the use of novel sampling algorithms which provide real-world chemical plume detection capability with compressed data and a hardware configuration which enables high frame rate capture of full 2D spatial and 1D spectral data. Compressive sensing techniques will be used to capture complete hyperspectral data cubes at video frame rates without the need for a costly Long Wave Infrared (LWIR) Focal Plane Array. PSI"s experience in chemical plume detection and Colorado State University"s expertise in reduced order modeling of large data sets will be used to move beyond the standard compressive sensing techniques employed in visible imaging to detect the low thermal contrast signatures of chemical clouds. The proposed system will provide standoff (less than or equal to 5 km) wide-area detection of these clouds for dramatically decreased size, weight, power consumption, and cost compared to current LWIR imaging systems. In Phase I, a compressive LWIR sensor will be designed and modeled, a trade study and down-select of key components performed, relevant algorithms prototyped, and risk-reduction experiments conducted. In Phase II, a TRL 5 prototype system will be developed, integrated, and tested in relevant environments.

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

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