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Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction
Archeological prospection and 3D reconstruction are increasingly combined in large archeological projects that serve both site investigation and dissemination of results. This paper describes and validates a method for using multispectral imagery captured by unmanned aerial vehicles (UAVs), subsurfa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007628/ https://www.ncbi.nlm.nih.gov/pubmed/36904973 http://dx.doi.org/10.3390/s23052769 |
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author | Ronchi, Diego Limongiello, Marco Demetrescu, Emanuel Ferdani, Daniele |
author_facet | Ronchi, Diego Limongiello, Marco Demetrescu, Emanuel Ferdani, Daniele |
author_sort | Ronchi, Diego |
collection | PubMed |
description | Archeological prospection and 3D reconstruction are increasingly combined in large archeological projects that serve both site investigation and dissemination of results. This paper describes and validates a method for using multispectral imagery captured by unmanned aerial vehicles (UAVs), subsurface geophysical surveys, and stratigraphic excavations to evaluate the role of 3D semantic visualizations for the collected data. The information recorded by various methods will be experimentally reconciled using the Extended Matrix and other original open-source tools, keeping both the scientific processes that generated them and the derived data separate, transparent, and reproducible. This structured information makes immediately accessible the required variety of sources useful for interpretation and reconstructive hypotheses. The application of the methodology will use the first available data from a five-year multidisciplinary investigation project at Tres Tabernae, a Roman site near Rome, where numerous non-destructive technologies, as well as excavation campaigns, will be progressively deployed to explore the site and validate the approaches. |
format | Online Article Text |
id | pubmed-10007628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100076282023-03-12 Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction Ronchi, Diego Limongiello, Marco Demetrescu, Emanuel Ferdani, Daniele Sensors (Basel) Article Archeological prospection and 3D reconstruction are increasingly combined in large archeological projects that serve both site investigation and dissemination of results. This paper describes and validates a method for using multispectral imagery captured by unmanned aerial vehicles (UAVs), subsurface geophysical surveys, and stratigraphic excavations to evaluate the role of 3D semantic visualizations for the collected data. The information recorded by various methods will be experimentally reconciled using the Extended Matrix and other original open-source tools, keeping both the scientific processes that generated them and the derived data separate, transparent, and reproducible. This structured information makes immediately accessible the required variety of sources useful for interpretation and reconstructive hypotheses. The application of the methodology will use the first available data from a five-year multidisciplinary investigation project at Tres Tabernae, a Roman site near Rome, where numerous non-destructive technologies, as well as excavation campaigns, will be progressively deployed to explore the site and validate the approaches. MDPI 2023-03-02 /pmc/articles/PMC10007628/ /pubmed/36904973 http://dx.doi.org/10.3390/s23052769 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ronchi, Diego Limongiello, Marco Demetrescu, Emanuel Ferdani, Daniele Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction |
title | Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction |
title_full | Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction |
title_fullStr | Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction |
title_full_unstemmed | Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction |
title_short | Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction |
title_sort | multispectral uav data and gpr survey for archeological anomaly detection supporting 3d reconstruction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007628/ https://www.ncbi.nlm.nih.gov/pubmed/36904973 http://dx.doi.org/10.3390/s23052769 |
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