Inverse-spectral-analysis of diffuse reflectance for surface-distributed particles

Samuel G. Lambrakos; Robert Furstenberg; Christopher Breshike; Chris Kendziora; Tyler J. Huffman; R. A. McGill; Andrew R. Shabaev

doi:10.1117/12.2618946

30 May 2022 Inverse-spectral-analysis of diffuse reflectance for surface-distributed particles

Samuel G. Lambrakos, Robert Furstenberg, Christopher Breshike, Chris Kendziora, Tyler J. Huffman, R. A. McGill, Andrew R. Shabaev

Author Affiliations +

Proceedings Volume 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII; 121161B (2022) https://doi.org/10.1117/12.2618946
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Conference Poster

Abstract

Inverse spectral analysis of diffuse reflectance for surface-distributed material particles on substrates is described. Inverse spectral analysisis applied using a methodology for extraction of target spectral features, which is based on diffuse reflectance theory and phenomenological multiplicative-factor decomposition of reflectance functions. Specifically, this methodology entails feature-extraction using reflectance-spectrum normalization with respect to phenomenological backgrounds. Case-study inverse spectral analyses of diffuse reflectance for surface-distributed caffeine particles on substrates demonstrate the methodology.

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Samuel G. Lambrakos, Robert Furstenberg, Christopher Breshike, Chris Kendziora, Tyler J. Huffman, R. A. McGill, and Andrew R. Shabaev "Inverse-spectral-analysis of diffuse reflectance for surface-distributed particles", Proc. SPIE 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, 121161B (30 May 2022); https://doi.org/10.1117/12.2618946

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