Hyperspectral Imaging for Characterization of Lithic Raw Materials: the Case of aMesolithic Dwelling in Northern Sweden
| العنوان: | Hyperspectral Imaging for Characterization of Lithic Raw Materials: the Case of aMesolithic Dwelling in Northern Sweden |
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| المؤلفون: | Sciuto, Claudia, Geladi, Paul, La Rosa, Lorenza, Linderholm, Johan, 1963, Thyrel, Mikael |
| المصدر: | Mobima; Bio4Energy Bio4Energy Lithic Technology. 44(1):22-35 |
| مصطلحات موضوعية: | Lithic raw materials, hyperspectral imaging, EDXRF, chemometrics, intra-site analysis, Swedish Mesolithic semi-subterranean dwellings |
| الوصف: | 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. |
| وصف الملف: | electronic |
| URL الوصول: | https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-154130 https://doi.org/10.1080/01977261.2018.1543105 https://umu.diva-portal.org/smash/get/diva2:1270072/FULLTEXT01.pdf |
| قاعدة البيانات: | SwePub |
PDF full text from Publisher | تدمد: | 20516185 |
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| DOI: | 10.1080/01977261.2018.1543105 |