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Proceedings Paper

Airborne infrared hyperspectral imager for intelligence, surveillance, and reconnaissance applications
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Paper Abstract

Persistent surveillance and collection of airborne intelligence, surveillance and reconnaissance information is critical in today's warfare against terrorism. High resolution imagery in visible and infrared bands provides valuable detection capabilities based on target shapes and temperatures. However, the spectral resolution provided by a hyperspectral imager adds a spectral dimension to the measurements, leading to additional tools for detection and identification of targets, based on their spectral signature. The Telops Hyper-Cam sensor is an interferometer-based imaging system that enables the spatial and spectral analysis of targets using a single sensor. It is based on the Fourier-transform technology yielding high spectral resolution and enabling high accuracy radiometric calibration. It provides datacubes of up to 320×256 pixels at spectral resolutions as fine as 0.25 cm-1. The LWIR version covers the 8.0 to 11.8 μm spectral range. The Hyper-Cam has been recently used for the first time in two compact airborne platforms: a belly-mounted gyro-stabilized platform and a gyro-stabilized gimbal ball. Both platforms are described in this paper, and successful results of high-altitude detection and identification of targets, including industrial plumes, and chemical spills are presented.

Paper Details

Date Published: 3 May 2012
PDF: 10 pages
Proc. SPIE 8360, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX, 836004 (3 May 2012); doi: 10.1117/12.918251
Show Author Affiliations
Eldon Puckrin, Defence Research and Development Canada, Valcartier (Canada)
Caroline S. Turcotte, Defence Research and Development Canada, Valcartier (Canada)
Marc-André Gagnon, Telops, Inc. (Canada)
John Bastedo, PV Labs (Canada)
Vincent Farley, Telops, Inc. (Canada)
Martin Chamberland, Telops, Inc. (Canada)


Published in SPIE Proceedings Vol. 8360:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX
Daniel J. Henry; Davis A. Lange; Dale Linne von Berg; Darrell L. Young; Kenneth L. Bernier; Jeff J. Guell; Sreekanth Danny Rajan, Editor(s)

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