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Automatic classification system of Raman spectra applied to pigments analysis

Autor
González, J.; Perez-Pueyo, R.; Soneira, M.J.
Tipus d'activitat
Article en revista
Revista
Journal of raman spectroscopy
Data de publicació
2016-12-01
Volum
47
Número
12
Pàgina inicial
1408
Pàgina final
1414
DOI
https://doi.org/10.1002/jrs.4908 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/102896 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/jrs.4908/abstract Obrir en finestra nova
Resum
Raman spectroscopy is one of the few non-destructive techniques capable of identifying pigments in art works. Raman spectra contain powerful information that can be used to identify unknown compounds and their chemical structures. However, the analysis of spectral data comes with some difficulties, and therefore the spectral interpretation is not straightforward. Sometimes, there are very little differences in the spectral data concerning to specific identification objectives, for instance, in p...
Citació
González, J., Perez-Pueyo, R., Soneira, M.J. Automatic classification system of Raman spectra applied to pigments analysis. "Journal of raman spectroscopy", 1 Desembre 2016, vol. 47, núm. 12, p. 1408-1414.
Paraules clau
Automatic classification, Multiple discriminant analysis, Pigments, Principal component analysis, Raman spectroscopy
Grup de recerca
GCO - Grup de Comunicacions Òptiques

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