Penetrating Terahertz Hyperspectral Unmixing via Löwner-John Ellipsoid (THz HU-LJE): An Unsupervised Algorithm

Yi Chun Hung, Chia Hsiang Lin, Feng Yu Wang, Shang Hua Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We presented an unsupervised method to separate mixtures of penetrating hyperspectral THz signals, using Löwner-John ellipsoid and THz time-domain spectroscopy. Its efficacy was demonstrated in the substance system composed of chemical pellets. Compared with contemporary THz spectral unmixing methods, we blindly extracted broadband spectral signatures of pure components with significantly higher accuracy of material identification without prior knowledge/modeling of the signature.

Original languageEnglish
Title of host publication2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020
PublisherIEEE Computer Society
Pages839-840
Number of pages2
ISBN (Electronic)9781728166209
DOIs
Publication statusPublished - 2020 Nov 8
Event45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020 - Virtual, Buffalo, United States
Duration: 2020 Nov 82020 Nov 13

Publication series

NameInternational Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
Volume2020-November
ISSN (Print)2162-2027
ISSN (Electronic)2162-2035

Conference

Conference45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020
Country/TerritoryUnited States
CityVirtual, Buffalo
Period20-11-0820-11-13

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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