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Hyperspectral Imaging for Characterization of Lithic Raw Materials : the Case of aMesolithic Dwelling in Northern Sweden

By Claudia Sciuto, Paul Geladi, Lorenza La Rosa, Johan Linderholm and Mikael Thyrel


This study proposes a method for the classification of lithic raw materials by means of hyperspectralimaging, a non-destructive fast analytical technique. The information potential of this approach wastested on a dwelling site dated to mid-late Mesolithic (7200–5800 BP) at Lillsjön, Ångermanland,Sweden. A dataset of lithic tools and flakes (2612 objects) made of quartz and quartzite, wasanalyzed using a shortwave infrared hyperspectral imaging system. The classification of the rawmaterials was performed applying multivariate statistical models. A random test set of 55artefacts was selected, classified according to spectral signature and divided into categoriescorresponding to different geological materials. The same test set was analyzed with EnergyDispersive X-Ray Fluorescence (ED XRF) to validate the classification. The entire dataset of lithicscollected on the site was then classified applying a SIMCA model. The distribution of items onthe site was visualized in a 3D GIS platform according to their geological characteristics tohighlight patterns that could indicate different use of the space and dynamics of raw materialssupply over time.Mobima; Bio4Energ

Topics: Lithic raw materials, hyperspectral imaging, EDXRF, chemometrics, intra-site analysis, Swedish Mesolithic semi-subterranean dwellings, Archaeology, Arkeologi
Publisher: 'Informa UK Limited'
Year: 2019
DOI identifier: 10.1080/01977261.2018.1543105
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