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An Environmentally Benign Helicopter Deicing/Anti-Icing Fluid

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAD17-01-C-0066
Agency Tracking Number: A992-0897
Amount: $729,928.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
735 State Street
Santa Barbara, CA 93101
United States
DUNS: 062090113
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Byron Welsh
 Senior Engineer
 (937) 429-9261
Business Contact
 Scot Fries
Title: Director of Contracts
Phone: (805) 963-8761
Research Institution

Atmospheric turbulence adversely affects imaging systems by causing a randomdistribution of the index of refraction of the air through which the lightpropagates. We show that tactical Army infrared sensing systems are not affected byturbulence in the same way as astronomical imaging systems, but the influence ofturbulence can still be quite strong. Rather, the shape of the point spread functionassociated with the scene varies significantly across the image field-of-view. Thiscondition is referred to as anisoplanatic imaging. Fortunately, the overall effectof turbulence within a given isoplanatic patch is not as strong as in theastronomical imaging case due to shorter optical paths and longer wavelengths. Tiltand low order turbulence modes will dominate the aberration experienced withinindividual isoplanatic patches, greatly simplifying the image reconstruction problem.In Phase I we demonstrated an approach for mitigating the type of aberrationsdescribed above. The results of the Phase I show that an approach based on blockmatching techniques is capable of significantly enhancing the resolution and removingthe distortions caused by the non-isoplanatic turbulence conditions. Thesedistortions and blurring are time varying and our demonstrated algorithm is effectivein removing these temporal effects. In Phase II we propose to develop and demonstratea hardware-based system for implementing in real time the image reconstructionalgorithm.

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

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