Publication detail

Classification of plastics using LIBS and Raman data fusion

HOLUB, D. POŘÍZKA, P. SAMEK, O. KAISER, J.

Original Title

Classification of plastics using LIBS and Raman data fusion

Type

presentation, poster

Language

English

Original Abstract

LIBS and Raman measurements were done on 12 different plastic type samples. Principal Component Analysis (PCA) was done to classify different plastic types. Neither of the two methods was able to classify all samples on its own. Data fusion was done by connecting LIBS and Raman spectra. This led to impovement in classification, which was shown by PCA automatic clustering and SIMCA algorithm.

Keywords

LIBS, Raman spectroscopy, Principal Component Analysis, SIMCA, data fusion

Authors

HOLUB, D.; POŘÍZKA, P.; SAMEK, O.; KAISER, J.

Released

2. 12. 2020

BibTex

@misc{BUT175330,
  author="Daniel {Holub} and Pavel {Pořízka} and Ota {Samek} and Jozef {Kaiser}",
  title="Classification of plastics using LIBS and Raman data fusion",
  year="2020",
  note="presentation, poster"
}