The detection of archaeological features hidden beneath vegetation remains a major challenge in landscape archaeology, particularly in forested and densely vegetated environments. Airborne LiDAR have demonstrated strong potential to penetrate vegetation and reveal micro-topography, yet many challenges in data processing are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological features across diverse environments.

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[Website Università degli Studi di Udine]