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Performance estimation of SAR imagery using NIIRS techniques

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-11-C-1019
Agency Tracking Number: F093-143-2402
Amount: $749,975.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF093-143
Solicitation Number: 2009.3
Solicitation Year: 2009
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-04-08
Award End Date (Contract End Date): N/A
Small Business Information
1775 Mentor Avenue Suite 302
Cincinnati, OH -
United States
DUNS: 964730451
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Adam Nolan
 Senior Research Scientist
 (513) 631-0579
Business Contact
 Stuart Shelley
Title: Principal
Phone: (513) 631-0579
Research Institution

Using an information theoretic Global Image Quality Equation(GIQE), we map image formation parameters to National Image Interpretability Rating Scale(NIIRS) levels. These NIIRS levels are also projected onto PID derived from analysts and signature exploitation algorithms for various target sets. Imagery is generated randomly using a combination of truthed clutter background with measured and synthetic chips. Operating condition(OC) dimensions are stored for each classification enabling superior regression fits based on known OCs. BENEFIT: We have presented a set of tools, approaches, and algorithms which define a variety of performance bounds on SAR imagery. This is important to the sensor community because without it, there is no scientific justification for tasking sensors, defining new sensor specifications, and understanding the limitations of signature exploitation data algorithms. We envision these performance models getting used to bound confidence on Non Destructive Inspection algorithms used for airframe monitoring.

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

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