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Proceedings Paper

Identification of mixed substances using a random forest regressor to classify THz absorbance spectra
Author(s): Arthur D. van Rheenen; Lars Aurdal; Helle Emilia Nystad; Magnus W. Haakestad
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Paper 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].

Paper Details

Date Published: 5 October 2018
PDF: 11 pages
Proc. SPIE 10800, Millimetre Wave and Terahertz Sensors and Technology XI, 1080009 (5 October 2018); doi: 10.1117/12.2325529
Show Author Affiliations
Arthur D. van Rheenen, Norwegian Defence Research Establishment (Norway)
Lars Aurdal, Norwegian Defence Research Establishment (Norway)
Helle Emilia Nystad, Helse Bergen Haukeland Univ. Hospital (Norway)
Magnus W. Haakestad, Norwegian Defence Research Establishment (Norway)


Published in SPIE Proceedings Vol. 10800:
Millimetre Wave and Terahertz Sensors and Technology XI
Neil A. Salmon; Frank Gumbmann, Editor(s)

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