5 October 2018 Identification of mixed substances using a random forest regressor to classify THz absorbance spectra
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Abstract
We report on the development and application of a random forest regressor that not only identifies but also estimates the relative concentrations of substances (one explosive and two simulants), both in one-substance and two-substance samples. Performance of the regressor is quantified using Receiver Operating Characteristics and the performance is contrasted with that of a simple Spectral Angle Mapping technique that worked well on single-substance samples [1-3].
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Arthur D. van Rheenen, Lars Aurdal, Helle Emilia Nystad, and Magnus W. Haakestad "Identification of mixed substances using a random forest regressor to classify THz absorbance spectra", Proc. SPIE 10800, Millimetre Wave and Terahertz Sensors and Technology XI, 1080009 (5 October 2018); doi: 10.1117/12.2325529; https://doi.org/10.1117/12.2325529
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