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Parametric modeling of NIR and SWIR absorbance spectra for dye mixtures in fabrics using Gaussian functions
Author(s): R. Viger; S. Ramsey; T. Mayo; S. G. Lambrakos
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Paper Abstract

This study describes parametric modeling of near-infrared (NIR, 0.7-0.9 μm) and shortwave infrared (SWIR, 0.9-1.7 μm) absorbance spectra, which is for optimizing NIR-SWIR reflectance of dyed fabrics with respect to given illuminations and background environments. The parametric models are linear combinations of gaussian functions, which are for modeling dyes in fabric whose absorption spectra span the NIR/SWIR spectral range. In general, decomposition of an absorbance spectrum in terms of linear combinations of gaussain functions is not unique. This suggests investigatng what are optimal linear combinations of gaussian functions for modeling given spectra. Prototype modeling is applied to NIR/SWIR absorbing dyes, and their mixtures, in fabric samples, which consist of a cotton blend. The results of this study demonstrate parametric modeling using linear combinations of gaussian functions for simulating NIR/SWIR absorbance spectra, which are for variable dye and dye blend concentrations in fabrics.

Paper Details

Date Published: 9 September 2019
PDF: 8 pages
Proc. SPIE 11129, Infrared Sensors, Devices, and Applications IX, 111290Q (9 September 2019); doi: 10.1117/12.2528261
Show Author Affiliations
R. Viger, U.S. Naval Research Lab. (United States)
S. Ramsey, U.S. Naval Research Lab. (United States)
T. Mayo, U.S. Naval Research Lab. (United States)
S. G. Lambrakos, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 11129:
Infrared Sensors, Devices, and Applications IX
Paul D. LeVan; Priyalal Wijewarnasuriya; Ashok K. Sood, Editor(s)

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