A5047536237- Archaeological Research and Protection
- Conservation Techniques and Studies
- 3D Surveying and Cultural Heritage
- Image Processing and 3D Reconstruction
- Cultural Heritage Materials Analysis
- Ancient Mediterranean Archaeology and History
- Archaeology and ancient environmental studies
- Anomaly Detection Techniques and Applications
National Research Council
2025
University of Rome Tor Vergata
2021-2024
This study introduces a methodology for the improvement of visibility archaeological features using an open-source probabilistic machine learning framework applied to UAV LiDAR data from Torre Castiglione site in Apulia, Italy. By leveraging Random Forest classification algorithm embedded software, approach processes dense point clouds segment out vegetation ground and structures. Key steps include training classifier, generating digital terrain models, feature surface enhancing features....
Constant detection and monitoring of archaeological sites objects have always been an important national goal for many countries. The early identification changes is crucial to preventive conservation. Archaeologists considered using service drones automate collecting data on below the ground surface sites, with cost technical barriers being main hurdles against wide-scale deployment. Advances in thermal imaging, depth drones, artificial intelligence driven down improved quality volume...
This study investigates the applicability of drone technology in examining Stracciacappe, a minor archaeological site through low-altitude aerial photography. Using multispectral and thermal sensors mounted on DJI Phantom Multispectral Mavic Enterprise Advanced drones, several flight missions were conducted November 2020, May 2021, April 2022. The effectiveness analyzing raw images was limited by area’s irregular vegetation, which hindered clear detection anomalies. However, microtopographic...
During the Ph.D. project titled Flying off-site: new investigation methodologies for analysis of historical landscapes, QGIS was used as a workspace archaeogeographical territory Castronovo di Sicilia (PA). The interaction between native applications and plug-ins developed by third parties showed that this software is ideal environment complete analysis, it can integrate archaeological geographical information different types. possibility using single not only reduces research costs time but...
ABSTRACT Archaeological aerial thermography has traditionally focused on bare ground terrain; however, recent developments in drone technology have prompted a reconsideration of thermal analysis cultivated fields. This study investigates three different sites using drones equipped with thermal, RGB and multispectral sensors to identify archaeological anomalies. research challenges the traditional focus cameras vegetation‐free terrains by investigating land, where perceived temperature is...
The introduction of generative AI has the potential to radically transform various fields research, including archaeology. This study explores AI, specifically ChatGPT, in developing a computer application for analyzing aerial and satellite images detect archaeological anomalies. main focus was not on itself but evaluating ChatGPT’s effectiveness as an IT assistant humanistic researchers. Starting with simple prompt analyze multispectral orthophoto, developed through successive iterations,...