Identification of mixed substances using a random forest regressor to classify THz absorbance spectra

Author
Rheenen, Arthur Dirk van
Aurdal, Lars
Nystad, Helle Emilia
Haakestad, Magnus W.
Date Issued
2018
Keywords
Spektroskopi
Eksplosiver
Permalink
http://hdl.handle.net/123456789/80383
http://hdl.handle.net/20.500.12242/2525
DOI
10.1117/12.2325529
Collection
Articles
Description
Rheenen, Arthur Dirk van; Aurdal, Lars; Nystad, Helle Emilia; Haakestad, Magnus W.. Identification of mixed substances using a random forest regressor to classify THz absorbance spectra. Proceedings of SPIE, the International Society for Optical Engineering 2018
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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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