DYNAMICALLY PROGRAMMABLE AND ADAPTIVE MULTI-BAND COMPRESSIVE IMAGING SYSTEM

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$416,990.00
Award Year:
2013
Program:
STTR
Phase:
Phase II
Contract:
W911NF-13-C-0066
Agency Tracking Number:
A2-5020
Solicitation Year:
2011
Solicitation Topic Code:
A11a-T007
Solicitation Number:
2011.
Small Business Information
Bridger Photonics, Inc
2310 University Way, Bldg 4-4, Bozeman, MT, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
788293244
Principal Investigator:
Randy Reibel
Vice President
(406) 585-2774
reibel@bridgerphotonics.com
Business Contact:
Sandra Reibel
Financial Manager
(406) 585-2774
sandy@bridgerphotonics.com
Research Institution:
University of Arizona
Amit Ashok
1639 East University Blvd.
Meinel Building
Tucson, AZ, 85721-
(520) 626-4815
Nonprofit college or university
Abstract
Bridger Photonics, Inc. and the University of Arizona have successfully demonstrated a Phase I dynamically programmable multi-band compressive imaging system. The team demonstrated three key technical concepts that prove the feasibility of this powerful technology: 1. Advanced algorithms were used to develop compressive measurement basis sets for imaging and target classification. The algorithms and basis sets were validated experimentally with imaging hardware and mock battlespace scenes. 2. Hardware was developed to perform compressive sensing in two spectral bands simultaneously. Images up to 64 x 128 were formed with nearly 10x compression and target detection was performed. 3. A dynamically programmable processor was implemented to enable rapid switching between system tasks and adaptive measurements. Based on the positive outcome of these demonstrations, the team has determined a Phase II prototype design to meet the Army"s Phase II goals. The Phase II system will produce 2-megapixel images with 10x compression in four spectral bands. In addition, the system will use advanced algorithms to provide jointly optimized image reconstruction and classification/detection. The team"s proven expertise and experience with compressive sensing algorithms, imaging hardware, and rapid prototyping will enable the development of state-of-the-art compressive sensing algorithms and hardware during the Phase II effort.

* information listed above is at the time of submission.

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