Journal
TALANTA
Volume 75, Issue 4, Pages 926-936Publisher
ELSEVIER
DOI: 10.1016/j.talanta.2007.12.030
Keywords
data fusion; multivariate classification; micro-Raman spectroscopy; micro X-ray spectrometry; ancient pigments
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Two different data-fusion strategies are evaluated for the combination of the outputs of combined Raman/X-Ray fluorescence instrument. The studied application deals with the classification of ochre pigments investigated in the field of cultural heritage. The two fusion strategies are: (1) first level fusion: combines raw signals obtained from each technique and (2) second level fusion: combines extracted features provided individually by each technique. Classification tool is partial least squares-discriminant analysis (PLS-DA). Classification results obtained performing different data-fusion strategies are compared with those results obtained performing a single classification model for each data source. The results show that the combination of signal features is the most suitable for a rapid and unique processing of both types of spectra. Benefits and drawbacks of each strategy are also discussed. (c) 2007 Elsevier B.V. All rights reserved.
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