Inverse-Model Space for Feature Extraction from Absorption Spectra
Abstract
This report describes a methodology for spectrum-feature extraction from absorption spectra, obtained using reflectance measurements, including those obtained by diffuse reflectance (DR) and attenuated total reflectance (ATR) spectroscopies, based on reflectance theory and phenomenological function decomposition of reflectance. Specifically, this methodology entails spectrum feature-extraction using iterative spectrum adjustment by phenomenological backgrounds. Formulation of the feature-extraction methodology, based on inverse-analysis theory, is that of an inverse-model space, whose concept and properties are described. The inverse-model space, for spectrum feature-extraction, consists of numerical and analytical functions for non-unique iterative spectrum-background adjustment, which formally combines existing methods. In this study, the methodology defined by these combined methods, is extended to include truncated basis-function representations of dominant spectral features. In addition, results of spectrum-feature extractions demonstrating application of the inverse-analysis methodology are described.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 21, 2022
- Accession Number
- AD1167530
Entities
People
- Andrew R. Shabaev
- Samuel G. Lambrakos
Organizations
- United States Naval Research Laboratory