Multispectral and hyperspectral advanced characterization of soldier's camouflage equipment

Philippe Lagueux; Mariusz Kastek; Martin Chamberland; Tadeusz Piątkowski; Vincent Farley; Rafał Dulski; Piotr Trzaskawka

doi:10.1117/12.2028783

15 October 2013 Multispectral and hyperspectral advanced characterization of soldier's camouflage equipment

Philippe Lagueux, Mariusz Kastek, Martin Chamberland, Tadeusz Piątkowski, Vincent Farley, Rafał Dulski, Piotr Trzaskawka

Author Affiliations +

Proceedings Volume 8897, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing; 88970D (2013) https://doi.org/10.1117/12.2028783
Event: SPIE Security + Defence, 2013, Dresden, Germany

Abstract

The requirements for soldier camouflage in the context of modern warfare are becoming more complex and challenging given the emergence of novel infrared sensors. There is a pressing need for the development of adapted fabrics and soldier camouflage devices to provide efficient camouflage in both the visible and infrared spectral ranges. The Military University of Technology has conducted an intensive project to develop new materials and fabrics to further improve the camouflage efficiency of soldiers. The developed materials shall feature visible and infrared properties that make these unique and adapted to various military context needs. This paper presents the details of an advanced measurement campaign of those unique materials where the correlation between multispectral and hyperspectral infrared measurements is performed.

Citation Download Citation

Philippe Lagueux, Mariusz Kastek, Martin Chamberland, Tadeusz Piątkowski, Vincent Farley, Rafał Dulski, and Piotr Trzaskawka "Multispectral and hyperspectral advanced characterization of soldier's camouflage equipment", Proc. SPIE 8897, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing, 88970D (15 October 2013); https://doi.org/10.1117/12.2028783

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