Hyperspectral signature analysis and characterization in support of remote detection of chemical and biological exposures

Christopher Katinas; Jerilyn Timlin; Jon Slater; Thomas Reichardt

doi:10.1117/12.2618425

31 May 2022 Hyperspectral signature analysis and characterization in support of remote detection of chemical and biological exposures

Christopher Katinas, Jerilyn Timlin, Jon Slater, Thomas Reichardt

Author Affiliations +

Proceedings Volume 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII; 120940T (2022) https://doi.org/10.1117/12.2618425
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Remote assessment of physiological parameters has enabled patient diagnostics without the need for a medical professional to become exposed to potential communicable diseases. In particular, early detection of oxygen saturation, abnormal body temperature, heart rate, and/or blood pressure could affect treatment protocols. The modeling effort in this work uses an adding-doubling radiative transfer model of a seven-layer human skin structure to describe absorption and reflection of incident light within each layer. The model was validated using both abiotic and biotic systems to understand light interactions associated with surfaces consisting of complex topography as well as multiple illumination sources. Using literature-based property values for human skin thickness, absorption, and scattering, an average deviation of 7.7% between model prediction and experimental reflectivity was observed in the wavelength range of 500-1000 nm.

Conference Presentation

Citation Download Citation

Christopher Katinas, Jerilyn Timlin, Jon Slater, and Thomas Reichardt "Hyperspectral signature analysis and characterization in support of remote detection of chemical and biological exposures", Proc. SPIE 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, 120940T (31 May 2022); https://doi.org/10.1117/12.2618425

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