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

Period of Performance: 10/01/2008 - 01/25/2010

$150K

Phase 1 SBIR

Recipient Firm

Xiomas Technologies
1317 Skyway Drive
Ypsilanti, MI 48197
Principal Investigator

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.