13 October 2015 Airborne thermal infrared hyperspectral imaging of buried objects
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Abstract
Characterization of hazardous lands using ground-based techniques can be very challenging. For this reason, airborne surveys are often preferred. The use of thermal infrared imaging represents an interesting approach as surveys can be carried out under various illumination conditions and that the presence of buried objects typically modifies the thermal inertia of their surroundings. In addition, the burial or presence of a buried object will modify the particle size, texture, moisture and mineral content of a small region around it. All these parameters may lead to emissivity contrasts which will make thermal contrast interpretation very challenging. In order to illustrate the potential of airborne thermal infrared hyperspectral imaging for buried object characterization, various metallic objects were buried in a test site prior to an airborne survey. Airborne hyperspectral images were recorded using the targeting acquisition mode, a unique feature of the Telops Hyper-Cam Airborne system which allows recording of successive maps of the same ground area. Temperatureemissivity separation (TES) was carried out on the hyperspectral map obtained upon scene averaging. The thermodynamic temperature map estimated after TES highlights the presence of hot spots within the investigated area. Mineral mapping was carried out upon linear unmixing of the spectral emissivity datacube obtained after TES. The results show how the combination of thermal information and mineral distribution leads to a better characterization of test sites containing buried objects.
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Marc-André Gagnon, Marc-André Gagnon, Philippe Lagueux, Philippe Lagueux, Jean-Philippe Gagnon, Jean-Philippe Gagnon, Simon Savary, Simon Savary, Pierre Tremblay, Pierre Tremblay, Vincent Farley, Vincent Farley, Éric Guyot, Éric Guyot, Martin Chamberland, Martin Chamberland, } "Airborne thermal infrared hyperspectral imaging of buried objects", Proc. SPIE 9649, Electro-Optical Remote Sensing, Photonic Technologies, and Applications IX, 96490T (13 October 2015); doi: 10.1117/12.2195148; https://doi.org/10.1117/12.2195148
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