Multi-Frame Blind Deconvolution Algorithms for Daylight and Strong Turbulence Imaging

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9451-11-M-0027
Agency Tracking Number: F103-017-0949
Amount: $99,994.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: AF103-017
Solicitation Number: 2010.3
Small Business Information
1300 N. Holopono St, Suite 116, Kihei, HI, -
DUNS: 784201746
HUBZone Owned: Y
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bobby Hunt
 Sr. Principal Scientist
 (808) 268-0985
Business Contact
 Donald Forrester
Title: COO
Phone: (808) 268-4478
Research Institution
National intelligence requirements for Space Situational Awareness (SSA) are hindered by the lack of a reliable capability to image satellites during the daytime hours with optical sensors. Presently, most optical SSA observations are conducted during terminator conditions i.e., morning or evening twilight when the sun illuminates the satellite, but not the observatory. There are two fundamental issues that make daytime imaging more technically challenging than terminator imaging: atmospheric seeing is generally worse during the day than during terminator; and high levels of background radiation due to scattered sunlight significantly lower the signal-to-noise ratio (SNR) of the measurements. This project proposes to build on previous MFBD algorithm experience and on current research being performed by PDS for daytime imaging systems in order to develop the mathematical basis for new MFBD approaches and constraints that are tailored to daylight imaging in the presence of strong turbulence. BENEFIT: Facility security and battlespace management rely heavily video surveillance systems. In daylight these systems are limited by the stron turbulance encountered over long path lengths. MFBD operating in such conditions can bring huge improvements to such applications. The market is estimated to be in billions of dollars. The development of the new MFBD methods proposed herein offers the potential to contribute to better ultrasound imaging and other applications in the medical imaging field.

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

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