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Gimbal Integration to Small Format, Airborne, MWIR and LWIR Imaging Sensors

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX13CG24P
Agency Tracking Number: 125439
Amount: $124,960.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: S1.08
Solicitation Number: N/A
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-05-23
Award End Date (Contract End Date): 2013-11-23
Small Business Information
VA
Alexandria, VA 22309-3308
United States
DUNS: 968810536
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Fischer
 Principal Investigator
 (703) 727-5969
 Rob.Fischer@geo-intel.com
Business Contact
 Joseph Findley
Title: Business Official
Phone: (703) 999-6287
Email: Joe.Findley@geo-intel.com
Research Institution
 Stub
Abstract

The proposed innovation is for enhanced sensor performance and high resolution imaging for Long Wave InfraRed (LWIR) and Medium Wave IR (MWIR) camera systems used in aerial imaging applications through integration with KeyW's advanced EO/IR Imaging eGimbal?(IeG) system. Increases in pixel densities with the advent of large format monolithic focal plane arrays (FPAs), as well as new detector materials, has led to the development of faster frame rate cameras in these long-wave spectral bands. These next generation systems have enabled the transition of applications and operational CONOPs more traditionally used with high resolution Electro-Optical (EO) camera systems to long wave sensors. Specifically, the SBIR team of GIA and KeyW propose to 1) design an integration plan for a more robust version of IeG, three-axis gimbal system developed from a previous SBIR with NASA Goddard, to small format, high-sensitivity, MWIR/LWIR cameras, including the development of a sensor model to perform the coordinate transformations to geo-register the long-wave imagery; 2) design a geometric and radiometric calibration approach to ensure accurate projection and image quality of the MWIR/LWIR data; 3) design the command and control software to ensure accurate targeting of the proposed MWIR/LWIR sensors; and 4) study/design techniques and operational parameters that will allow the MWIR/LWIR sensors to meet the requirements of selected target applications and products.

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

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