Real-time Spectral Band Optimization for Unmanned Aerial Systems (UAS) Hyperspectral Camera

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,994.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
N68335-09-C-0020
Award Id:
87780
Agency Tracking Number:
N082-155-0921
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1317 Skyway Drive, Ypsilanti, MI, 48197
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
805889552
Principal Investigator:
John Green
Co-Owner
(734) 646-6535
johngreen@xiomas.com
Business Contact:
John Green
Co-Owner
(734) 646-6535
johngreen@xiomas.com
Research Institution:
n/a
Abstract
A low power, lightweight hyperspectral imaging system with automated image analysis and data optimization for real time target detection and compression of the hyperspectral data is proposed. The system is designed to fit within the size, weight, and power envelope of a small UAS, is robust and includes several onboard real time target detection and data optimization algorithms. The system uses an efficient combination of DSP/FPGA, low power ARM processors, solid state disk arrays, and proven hyperspectral band reduction software. The hyperspectral imager is a compact, low-weight asymmetric anamorphic imaging spectrometer covering the UV through SWIR spectral regions The proposed system will optimize the hyperspectral data set so that critical information can be transmitted in near real time across the existing data link (which currently handles 30 frames/sec video). The complete imaging system will be contained in a 4.75 inch diameter by 12 inch in length cylinder or smaller package, and is comprised of the hyperspectral camera, processing engine, and mass storage device.

* information listed above is at the time of submission.

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