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The OPTIMAL project develops a Machine Learning approach using Light Detection And Ranging technology to automatically detect illegal excavation activities in archaeological sites. By analyzing LiDAR point cloud time-series, it aims to identify looting-related features hidden under vegetation, enhancing monitoring capa…
Illegal excavation of archaeological sites aimed at collecting historical material culture (""looting"") is a pressing problem on a global scale.
The global upsurge of in the illegal excavation of cultural heritage sites (e.g. in connection to turmoils in Middle East or due to the impossibility of monitoring inaccessible areas, like in South America) and the subsequent trafficking of antiquities, exacerbated by the Covid lockdown, calls for the timely development of automatic means for identifyi…
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
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NATIONAL UNIVERSITY CORPORATIONKYOTO UNIVERSITY
Japan, Kyoto
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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