Case studies (II) for inverse spectral analysis and parametric modeling of diffuse reflectance for NIR-SWIR absorbing dyes on sunstrates

This report continues presentation of case studies for inverse spectral analysis and parametric modeling of diffuse reflectance spectra for NIR-SWIR absorbing dyes. These case studies demonstrate the concept of applying inverse spectral analysis to diffuse reflectance, for estimation of absorbance functions, and parametric modeling for simulation of diffuse reflectance. Sufficient sensitivity of absorption spectra relative to inverse spectral analysis establishes that estimated absorbance functions can be used for parametric modeling of reflectance from dye formulations on substrates, e.g., fabrics.

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Published
2024-08-16
DOI
https://doi.org/10.1117/12.3025389
Primary Topic
Water Quality Monitoring and Analysis
Type
article
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article

Case studies (II) for inverse spectral analysis and parametric modeling of diffuse reflectance for NIR-SWIR absorbing dyes on sunstrates

Troy Mayo, Scott David Ramsey, Jesse Duncan, Rachel Viger et al.
Water Quality Monitoring and Analysis
article

Case studies (II) for inverse spectral analysis and parametric modeling of diffuse reflectance for NIR-SWIR absorbing dyes on sunstrates

Troy Mayo, Scott David Ramsey, Jesse Duncan, Rachel Viger, Samuel G. Lambrakos
article en

Abstract

This report continues presentation of case studies for inverse spectral analysis and parametric modeling of diffuse reflectance spectra for NIR-SWIR absorbing dyes. These case studies demonstrate the concept of applying inverse spectral analysis to diffuse reflectance, for estimation of absorbance functions, and parametric modeling for simulation of diffuse reflectance. Sufficient sensitivity of absorption spectra relative to inverse spectral analysis establishes that estimated absorbance functions can be used for parametric modeling of reflectance from dye formulations on substrates, e.g., fabrics.

United States Naval Research Laboratory (US)
Openalex Percentile: Top 85%
Water Quality Monitoring and Analysis
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