Cloud-based analysis of aerial imagery for unveiling ancient archaeological patterns
Abstract Image processing and artificial intelligence techniques represent new and effective tools for supporting archaeological research to bring ancient finds to light. They can help archaeologists to discover remains that are difficult to identify using traditional approaches. The design and deve...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-04-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-025-00747-8 |
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| _version_ | 1849314774556344320 |
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| author | Pietro Fusco Alba Amato Salvatore Venticinque |
| author_facet | Pietro Fusco Alba Amato Salvatore Venticinque |
| author_sort | Pietro Fusco |
| collection | DOAJ |
| description | Abstract Image processing and artificial intelligence techniques represent new and effective tools for supporting archaeological research to bring ancient finds to light. They can help archaeologists to discover remains that are difficult to identify using traditional approaches. The design and development of such applications, which aim at processing large amounts of data to cover extended areas, requires the use of Cloud paradigms for exploiting Cloud elasticity and scaling with the problem size. This paper presents an original methodology that integrates deep learning, computer vision, and optimization models to identify archaeological remains from aerial images. Results demonstrate how the proposed approach can search for the remains of Centuriation, which is an ancient Roman system for dividing the land over a large area, and evaluate the scalability of a map-reduce implementation in the Cloud. |
| format | Article |
| id | doaj-art-79457a24a77d494c86d8da55ffcfa296 |
| institution | Kabale University |
| issn | 2192-113X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj-art-79457a24a77d494c86d8da55ffcfa2962025-08-20T03:52:20ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2025-04-0114111410.1186/s13677-025-00747-8Cloud-based analysis of aerial imagery for unveiling ancient archaeological patternsPietro Fusco0Alba Amato1Salvatore Venticinque2Department of Engineering, University of Campania “Luigi Vanvitelli”Department of Politic Science, University of Campania “Luigi Vanvitelli”Department of Engineering, University of Campania “Luigi Vanvitelli”Abstract Image processing and artificial intelligence techniques represent new and effective tools for supporting archaeological research to bring ancient finds to light. They can help archaeologists to discover remains that are difficult to identify using traditional approaches. The design and development of such applications, which aim at processing large amounts of data to cover extended areas, requires the use of Cloud paradigms for exploiting Cloud elasticity and scaling with the problem size. This paper presents an original methodology that integrates deep learning, computer vision, and optimization models to identify archaeological remains from aerial images. Results demonstrate how the proposed approach can search for the remains of Centuriation, which is an ancient Roman system for dividing the land over a large area, and evaluate the scalability of a map-reduce implementation in the Cloud.https://doi.org/10.1186/s13677-025-00747-8Map reduceSemantic segmentationRoman centuriationImage processing |
| spellingShingle | Pietro Fusco Alba Amato Salvatore Venticinque Cloud-based analysis of aerial imagery for unveiling ancient archaeological patterns Journal of Cloud Computing: Advances, Systems and Applications Map reduce Semantic segmentation Roman centuriation Image processing |
| title | Cloud-based analysis of aerial imagery for unveiling ancient archaeological patterns |
| title_full | Cloud-based analysis of aerial imagery for unveiling ancient archaeological patterns |
| title_fullStr | Cloud-based analysis of aerial imagery for unveiling ancient archaeological patterns |
| title_full_unstemmed | Cloud-based analysis of aerial imagery for unveiling ancient archaeological patterns |
| title_short | Cloud-based analysis of aerial imagery for unveiling ancient archaeological patterns |
| title_sort | cloud based analysis of aerial imagery for unveiling ancient archaeological patterns |
| topic | Map reduce Semantic segmentation Roman centuriation Image processing |
| url | https://doi.org/10.1186/s13677-025-00747-8 |
| work_keys_str_mv | AT pietrofusco cloudbasedanalysisofaerialimageryforunveilingancientarchaeologicalpatterns AT albaamato cloudbasedanalysisofaerialimageryforunveilingancientarchaeologicalpatterns AT salvatoreventicinque cloudbasedanalysisofaerialimageryforunveilingancientarchaeologicalpatterns |