Giulio Poggi is an archaeologist and a Post-Doc researcher at the Centre for Cultural Heritage Technology (CCHT) of the Istituto Italiano di Tecnologia (IIT). He is specialised in Landscape Archaeology, with particular focus on computational methods for detecting past landscape features using Remote Sensing technologies, Machine Learning and spatial analysis.
Research center
CCHT@Treviso
About
Experience External
Title: PhD student
Institute: Università di Siena
Location: Siena
Country: Italy
From: 2017 To: 2021
All Publications
2026
Ahmed I., Poggi G., Ferro S., Traviglia A.
Deep Learning-Based Detection of Looting Pits in Archaeological Sites from Very High-Resolution Satellite Imagery
International Conference on Artificial Intelligence, Computer, Data Sciences and Applications, pp. 1-6
Conference Paper
Conference
2026
Chiricallo E., Poggi G., Ferro S., Vascon S., Traviglia A.
Deep Learning Enables the Automatic Mapping of Tell Sites on Satellite Synthetic Aperture Radar Products
Remote Sensing, vol. 18, (no. 13), pp. 2255
Article
Journal
2025
Yaseen A., Poggi G., Ferro S., Vascon S., Traviglia A.
MULTI-TEMPORAL ATTENTION U-NET FOR SEASONALLY VARIABLE SUBSURFACE FEATURE DETECTION
International conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
Conference Paper
Conference
2025
Poggi G., Yaseen A., Jaturapitpornchai R., Ferro S., Sech G., Naylor P., Cristina Salvi M., Vascon S., Le Saux B., Fiorucci M., Traviglia A.
Multitemporal Multispectral Dataset for Palaeochannels Segmentation (MAPS)
IEEE Access, vol. 13, pp. 203113-203124
Article
Journal
2025
Yaseen A., Poggi G., Vascon S., Traviglia A.
Optimising Deep Learning-Based Segmentation of Crop and Soil Marks with Spectral Enhancements on Sentinel-2 Data
Remote Sensing, vol. 17, (no. 24), pp. 4014
Article
Journal
Colleagues of Cultural Heritage Technologies
