title: Micro-Raman and X-ray fluorescence spectroscopy data fusion for the classification of ochre pigments.
abstract: 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.
authors.affiliation: Department of Analytical Chemistry and Organic Chemistry, Rovira i Virgili University, Campus Sescelades, C/. Marcel-lí Domingo, s/n 43007 Tarragona, Spain.
authors.forename: Pablo Manuel
authors.initials: PM
authors.lastname: Ramos
authors.forename: Itziar
authors.initials: I
authors.lastname: Ruisánchez
authors.forename: Konstantinos S
authors.initials: KS
authors.lastname: Andrikopoulos