Parametric Model of Absorbance Spectra for NIR and SWIR Dyes and Dye-Mixtures in Fabric Using Gaussian Functions

Abstract

This study describes parametric modeling of near-infrared (NIR, 0.7-0.9 micrometer) and shortwave infrared (SWIR, 0.9-1.7 micrometer) 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 gaussian functions is not unique. This suggests investigating 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.

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Document Details

Document Type
Technical Report
Publication Date
May 08, 2019
Accession Number
AD1073821

Entities

People

  • Rachel Viger
  • Samuel G. Lambrakos
  • Scott Ramsey
  • Troy Mayo

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Electronic Warfare

DTIC Thesaurus Topics

  • Absorption
  • Absorption Spectra
  • Decomposition
  • Detectors
  • Diffuse Reflection
  • Dyes
  • Electronic Warfare
  • Fabrics
  • Information Operations
  • Inversion
  • Materials
  • Materials Science
  • Measurement
  • Military Research
  • Reflectance
  • Scattering
  • Spectra

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Polymer Science and Engineering.