Hyperspectral Imaging for Characterization of Lithic Raw Materials
The Case of a Mesolithic Dwelling in Northern Sweden
Bibliographic Data
| ID | 11380802 |
|---|---|
| Authors | Claudia Sciuto (0000-0003-0880-644X, Umeå University, corresponding author), Paul Geladi (0000-0001-6618-5931, Swedish University of Agricultural Sciences), Lorenza La Rosa (University of Oslo), Johan Linderholm (0000-0001-7471-8195, Umeå University), Mikael Thyrel (0000-0003-4748-2644, Swedish University of Agricultural Sciences) |
| Year | 2019 |
| Volume | 44 |
| Issue | 1 |
| Pages | 22-35 |
| Publication date | 2019-01-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Lithic Technology (JOURNAL) |
| Journal identifiers | ISSN: 0197-7261 • E-ISSN: 2051-6185 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01977261.2018.1543105 |
| OpenAlex | W2901558525 |
| Language | EN |
| Citations received | 7 |
| References cited | 35 |
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 characteristics to highlight patterns that could indicate different use of the space and dynamics of raw materials supply over time
Archaeology · Geography · Hyperspectral imaging · Mineralogy · Remote sensing · Archaeology and ancient environmental studies · Geochemistry and Geologic Mapping · Image Processing and 3D Reconstruction · Geology
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |