Hyperspectral imaging spectro radiometer improves radiometric accuracy

Florent Prel; Louis Moreau; Robert Bouchard; Ritchie D. Bullis; Claude Roy; Christian Vallières; Luc Levesque

doi:10.1117/12.2017688

5 June 2013 Hyperspectral imaging spectro radiometer improves radiometric accuracy

Florent Prel, Louis Moreau, Robert Bouchard, Ritchie D. Bullis, Claude Roy, Christian Vallières, Luc Levesque

Proceedings Volume 8706, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIV; 87060T (2013) https://doi.org/10.1117/12.2017688
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Reliable and accurate infrared characterization is necessary to measure the specific spectral signatures of aircrafts and associated infrared counter-measures protections (i.e. flares). Infrared characterization is essential to improve counter measures efficiency, improve friend-foe identification and reduce the risk of friendly fire. Typical infrared characterization measurement setups include a variety of panchromatic cameras and spectroradiometers. Each instrument brings essential information; cameras measure the spatial distribution of targets and spectroradiometers provide the spectral distribution of the emitted energy. However, the combination of separate instruments brings out possible radiometric errors and uncertainties that can be reduced with Hyperspectral imagers. These instruments combine both spectral and spatial information into the same data. These instruments measure both the spectral and spatial distribution of the energy at the same time ensuring the temporal and spatial cohesion of collected information. This paper presents a quantitative analysis of the main contributors of radiometric uncertainties and shows how a hyperspectral imager can reduce these uncertainties.

Citation Download Citation

Florent Prel, Louis Moreau, Robert Bouchard, Ritchie D. Bullis, Claude Roy, Christian Vallières, and Luc Levesque "Hyperspectral imaging spectro radiometer improves radiometric accuracy", Proc. SPIE 8706, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIV, 87060T (5 June 2013); https://doi.org/10.1117/12.2017688

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KEYWORDS

Calibration

Temperature metrology

Sensors

Infrared radiation

Received signal strength

Atmospheric modeling

Imaging systems

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