The NuragAI project: Artificial Intelligence-driven Image Analysis of Sardinia Landscape, Searching for Unknown Monuments

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dc.contributor.authorPalombini, Augustoen_US
dc.contributor.authorBaiocchi, Edoardoen_US
dc.contributor.authorLanzino, Romeoen_US
dc.contributor.authorMalatesta, Saverio Giulioen_US
dc.contributor.authorMarini, Marco Raoulen_US
dc.contributor.authorRosati, Paoloen_US
dc.contributor.editorBucciero, Albertoen_US
dc.contributor.editorFanini, Brunoen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRizvic, Selmaen_US
dc.date.accessioned2023-09-02T07:44:45Z
dc.date.available2023-09-02T07:44:45Z
dc.date.issued2023
dc.description.abstractThe NuragAI project aims at using an AI approach for image analysis of satellite imagery, in order to identify the nuraghi monuments (typical monuments of the Sardinia region, Italy, lasting from 1.8 to 0.7 ky BC), exploring the landscape and attempting a systematic survey of the Sardinia island. At the moment, a preliminary training has been performed, with an exceptionally positive result, and an earlier experiment of use. The satisfactory results are leading the authors towards a systematic analysis of the satellite imagery of the whole region, in order to check new monuments and open new perspectives for the use of AI in archaeological research.en_US
dc.description.sectionheadersPosters and Demos
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20231179
dc.identifier.isbn978-3-03868-217-2
dc.identifier.issn2312-6124
dc.identifier.pages191-193
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/gch.20231179
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20231179
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied Computing → Arts and Humanities; Software and its engineering → Software creation and management
dc.subjectApplied Computing → Arts and Humanities
dc.subjectSoftware and its engineering → Software creation and management
dc.titleThe NuragAI project: Artificial Intelligence-driven Image Analysis of Sardinia Landscape, Searching for Unknown Monumentsen_US
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GCH 2023 - Eurographics Workshop on Graphics and Cultural Heritage