Non-destructive characterisation and classification of ceramic artefacts using pEDXRF and statistical pattern recognitionReportar como inadecuado




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Chemistry Central Journal

, 6:102

Analytical Chemistry

Abstract

BackgroundPortable energy dispersive X-ray fluorescence pEDXRF spectrometry analysis was applied for the characterisation of archaeological ceramic findings from three Neolithic sites in Serbia. Two dimension reduction techniques, principal component analysis PCA and scattering matrices-based dimension reduction were used to examine the possible classification of those findings, and to extract the most discriminant features.

ResultsA decision-making procedure is proposed, whose goal is to classify unknown ceramic findings based on their elemental compositions derived by pEDXRF spectrometry. As a major part of decision-making procedure, the possibilities of two dimension reduction methods were tested. Scattering matrices-based dimension reduction was found to be the more efficient method for the purpose. Linear classifiers designed based on the desired output allowed for 7 of 8 unknown samples from the test set to be correctly classified.

ConclusionsBased on the results, the conclusion is that despite the constraints typical of the applied analytical technique, the elemental composition can be considered as viable information in provenience studies. With a fully-developed procedure, ceramic artefacts can be classified based on their elemental composition and well-known provenance.

KeywordspEDXRF spectrometry Pattern recognition Dimension reduction Feature extraction Classification Cultural Heritage Neolithic ceramics Electronic supplementary materialThe online version of this article doi:10.1186-1752-153X-6-102 contains supplementary material, which is available to authorized users.

Maja D Gajić-Kvaščev, Milica D Marić-Stojanović contributed equally to this work.

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Autor: Maja D Gajić-Kvaščev - Milica D Marić-Stojanović - Radmila M Jančić-Heinemann - Goran S Kvaščev - Velibor Dj An

Fuente: https://link.springer.com/



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