Section: Application Domains

Analysis spectroscopic imaging of ancient materials

Ancient materials, encountered in archaeology, paleontology and cultural heritage, are often complex, heterogeneous and poorly characterised before their physico-chemical analysis. A technique of choice to gather as much physico-chemical information as possible is spectro-microscopy or spectral imaging where a full spectra, made of more than thousand samples, is measured for each pixel. The produced data is tensorial with two or three spatial dimensions and one or more spectral dimensions and it requires the combination of an «image» approach with «curve analysis» approach. Since 2010 select collaborates with Serge Cohen (IPANEMA) on the development of conditional density estimation through GMM and non-asymptotic model selection to perform stochastic segmentation of such tensorial dataset. This technic enablesx the simultaneous accounting for spatial and spectral information while producing statistically sound information on morphological and physico-chemical aspects of the studied samples.