Detail publikace

Robust Mineralogy Analysis Utilizing Laser-Induced Breakdown Spectroscopy and Dispersive X-Ray Spectroscopy

BUDAY, J. CEMPÍREK, J. VÝRAVSKÝ, J. POŘÍZKA, P. KAISER, J.

Originální název

Robust Mineralogy Analysis Utilizing Laser-Induced Breakdown Spectroscopy and Dispersive X-Ray Spectroscopy

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this work, we focused on the analysis of large-scale geological samples combining LIBS and EDX. To use the LIBS for mineral identification, the k-means clustering method was utilized on the hyperspectral cube generated for each analyzed sample. As this method is in the category of unsupervised machine learning, we used the reference information from the EDX to specify the minerals within the sample.

Klíčová slova

LIBS, EDX, mineralogy, spectroscopy, clustering

Autoři

BUDAY, J.; CEMPÍREK, J.; VÝRAVSKÝ, J.; POŘÍZKA, P.; KAISER, J.

Vydáno

23. 8. 2024

ISBN

979-8-3503-6925-0

Kniha

2024 IEEE Sensors Applications Symposium (SAS)

ISSN

2766-3078

Periodikum

2024 IEEE Sensors Applications Symposium (SAS)

Stát

Spojené státy americké

Strany počet

5

URL

https://ieeexplore.ieee.org/document/10636561

BibTex

@inproceedings{BUT189398,
  author="Jakub {Buday} and Jan {Cempírek} and Jakub {Výravský} and Pavel {Pořízka} and Jozef {Kaiser}",
  title="Robust Mineralogy Analysis Utilizing Laser-Induced Breakdown Spectroscopy and Dispersive X-Ray Spectroscopy",
  booktitle="2024 IEEE Sensors Applications Symposium (SAS)",
  year="2024",
  journal="2024 IEEE Sensors Applications Symposium (SAS)",
  pages="5",
  doi="10.1109/SAS60918.2024.10636561",
  isbn="979-8-3503-6925-0",
  issn="2766-3078",
  url="https://ieeexplore.ieee.org/document/10636561"
}