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https://hdl.handle.net/20.500.14279/32481
Τίτλος: | Detecting archaeological surface ceramics using remote sensing based on low-altitude images and weak learners | Συγγραφείς: | Argyrou, Argyro Agapiou, Athos |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Λέξεις-κλειδιά: | Artificial Intelligence (AI);Object detection, UAV;Surface ceramic detection;Culture Heritage | Ημερομηνία Έκδοσης: | 13-Απρ-2024 | Πηγή: | 3rd Doctoral Colloquium of the Cyprus Rectors’ Conference, Nicosia, Cyprus, 13 April 2024 | Project: | CIVIL ENGINEERING AND GEOMATICS INNOVATIVE RESEARCH ON HERITAGE (ENGINEER) | Conference: | Doctoral Colloquium of the Cyprus Rectors’ Conference | Περίληψη: | Remote Sensing science has become increasingly valuable for archaeological research (Traviglia and Torsello, 2017). Drones and low-altitude systems provide a cost-effective way to document archaeological sites. In 2020, Domínguez-Rodrigo et al. highlighted the increasing use of advanced technologies such as machine learning and artificial intelligence. However, the success of remote sensing approaches largely depends on the methodology used during the research process. Sometimes, the methodology may be inadequate, making it difficult to assess the results accurately. Consequently, interpreting the results to align with the research objectives becomes challenging. Our study suggests that low-altitude remote sensing sensors and advanced image-processing techniques have immense potential to revolutionise field archaeological research. We discovered that detecting archaeological surface ceramics through drone imagery poses a challenge due to an 'imbalanced data distribution' issue, which leads to an accuracy paradox. Our study aimed to develop a new, robust methodology to optimise archaeological surface ceramic detection by blending AI methodologies for non-uniformly distributed classes. | URI: | https://hdl.handle.net/20.500.14279/32481 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Presentation | Affiliation: | Cyprus University of Technology |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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Detecting archaeological surface ceramics.pdf | 190.48 kB | Adobe PDF | Δείτε/ Ανοίξτε |
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