Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden
This study proposes a method for the classification of lithic raw materials by means of hyperspectral imaging, a non-destructive fast analytical technique. The information potential of this approach was tested on a dwelling site dated to mid-late Mesolithic (7200-5800 BP) at Lillsjön, Ångermanland,...
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ftunivpisairis:oai:arpi.unipi.it:11568/1013720 2024-02-11T10:07:10+01:00 Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden Sciuto C. Geladi P. La Rosa L. Linderholm J. Thyrel M. Sciuto, C. Geladi, P. La Rosa, L. Linderholm, J. Thyrel, M. 2019 STAMPA https://hdl.handle.net/11568/1013720 https://doi.org/10.1080/01977261.2018.1543105 https://www.tandfonline.com/doi/full/10.1080/01977261.2018.1543105 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000457783400003 volume:44 issue:1 firstpage:22 lastpage:35 numberofpages:14 journal:LITHIC TECHNOLOGY https://hdl.handle.net/11568/1013720 doi:10.1080/01977261.2018.1543105 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85057246757 https://www.tandfonline.com/doi/full/10.1080/01977261.2018.1543105 info:eu-repo/semantics/openAccess chemometric ED-XRF hyperspectral imaging intra-site analysi Lithic raw material Swedish Mesolithic semi-subterranean dwellings info:eu-repo/semantics/article 2019 ftunivpisairis https://doi.org/10.1080/01977261.2018.1543105 2024-01-17T18:01:17Z This study proposes a method for the classification of lithic raw materials by means of hyperspectral imaging, a non-destructive fast analytical technique. The information potential of this approach was tested 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, was analyzed using a shortwave infrared hyperspectral imaging system. The classification of the raw materials was performed applying multivariate statistical models. A random test set of 55 artefacts was selected, classified according to spectral signature and divided into categories corresponding to different geological materials. The same test set was analyzed with Energy Dispersive X-Ray Fluorescence (ED XRF) to validate the classification. The entire dataset of lithics collected on the site was then classified applying a SIMCA model. The distribution of items on the site was visualized in a 3D GIS platform according to their geological classification to highlight patterns that could indicate different use of the space and dynamics of raw materials supply over time. Article in Journal/Newspaper Northern Sweden ARPI - Archivio della Ricerca dell'Università di Pisa Lithic Technology 44 1 22 35 |
institution |
Open Polar |
collection |
ARPI - Archivio della Ricerca dell'Università di Pisa |
op_collection_id |
ftunivpisairis |
language |
English |
topic |
chemometric ED-XRF hyperspectral imaging intra-site analysi Lithic raw material Swedish Mesolithic semi-subterranean dwellings |
spellingShingle |
chemometric ED-XRF hyperspectral imaging intra-site analysi Lithic raw material Swedish Mesolithic semi-subterranean dwellings Sciuto C. Geladi P. La Rosa L. Linderholm J. Thyrel M. Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden |
topic_facet |
chemometric ED-XRF hyperspectral imaging intra-site analysi Lithic raw material Swedish Mesolithic semi-subterranean dwellings |
description |
This study proposes a method for the classification of lithic raw materials by means of hyperspectral imaging, a non-destructive fast analytical technique. The information potential of this approach was tested 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, was analyzed using a shortwave infrared hyperspectral imaging system. The classification of the raw materials was performed applying multivariate statistical models. A random test set of 55 artefacts was selected, classified according to spectral signature and divided into categories corresponding to different geological materials. The same test set was analyzed with Energy Dispersive X-Ray Fluorescence (ED XRF) to validate the classification. The entire dataset of lithics collected on the site was then classified applying a SIMCA model. The distribution of items on the site was visualized in a 3D GIS platform according to their geological classification to highlight patterns that could indicate different use of the space and dynamics of raw materials supply over time. |
author2 |
Sciuto, C. Geladi, P. La Rosa, L. Linderholm, J. Thyrel, M. |
format |
Article in Journal/Newspaper |
author |
Sciuto C. Geladi P. La Rosa L. Linderholm J. Thyrel M. |
author_facet |
Sciuto C. Geladi P. La Rosa L. Linderholm J. Thyrel M. |
author_sort |
Sciuto C. |
title |
Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden |
title_short |
Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden |
title_full |
Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden |
title_fullStr |
Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden |
title_full_unstemmed |
Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden |
title_sort |
hyperspectral imaging for characterization of lithic raw materials: the case of a mesolithic dwelling in northern sweden |
publishDate |
2019 |
url |
https://hdl.handle.net/11568/1013720 https://doi.org/10.1080/01977261.2018.1543105 https://www.tandfonline.com/doi/full/10.1080/01977261.2018.1543105 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000457783400003 volume:44 issue:1 firstpage:22 lastpage:35 numberofpages:14 journal:LITHIC TECHNOLOGY https://hdl.handle.net/11568/1013720 doi:10.1080/01977261.2018.1543105 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85057246757 https://www.tandfonline.com/doi/full/10.1080/01977261.2018.1543105 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1080/01977261.2018.1543105 |
container_title |
Lithic Technology |
container_volume |
44 |
container_issue |
1 |
container_start_page |
22 |
op_container_end_page |
35 |
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1790605332071841792 |