Exploration of megapixel hyperspectral LIBS images using principal component analysis-Reference-Cited by-同舟云学术

Exploration of megapixel hyperspectral LIBS images using principal component analysis

Published:2018 Issue:2 Volume:33 Page:210-220
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Moncayo Samuel¹²³⁴,Duponchel Ludovic⁵⁶⁷⁸⁹^ORCID,Mousavipak Niloofar¹²³⁴,Panczer Gérard¹²³⁴,Trichard Florian¹²³⁴,Bousquet Bruno¹⁰¹¹⁴,Pelascini Frédéric¹²¹³¹⁴¹⁵⁴,Motto-Ros Vincent¹²³⁴^ORCID

Affiliation:

1. Institut Lumière Matière UMR 5306

2. Université Lyon 1 - CNRS

3. Université de Lyon 69622 Villeurbanne

4. France

5. Laboratoire de Spectrochimie Infrarouge et Raman

6. LASIR

7. CNRS UMR 8516

8. Université de Lille

9. Faculté des Science et Technologies

10. CRITT Matériaux Alsace

11. 67305 Schiltigheim

12. CELIA

13. UMR CNRS 5107

14. Université Bordeaux

15. F-33405 Talence Cedex

Abstract

A new methodology based on the well-known principal component analysis, designed for large, raw, and potentially complex dataset, is proposed for the multivariate hyperspectral analysis of LIBS images.

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/JA/C7JA00398F

Reference31 articles.

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