The research strategy integrates ‘traditional’ archaeological research and fieldwork with sophisticated methods from disciplines such as computer vision and artificial intelligence.
It includes cutting-edge methods like remote sensing data processing and analysis, pattern recognition, and automated (historical) map analysis, with outputs managed via a Geographic Information System (GIS) interfaced with a sophisticated knowledge management system, a framework to store, process and analyse all the geo-referenced data needed in archaeomorphological analysis.
The foundation of the research agenda is embodied by the identification of the Aquileian land engineering module through the detection of its axes, shape and extension.
Accordingly, this project is pioneer the reconnaissance of subtle land division elements using a systematic combination of centurial grid detection procedures based on pattern recognition (applied to RS imagery), spatial analysis, rigorous field mapping and ground verification activities undertaken via state-of-the-art data recoding technologies.
Last update: 29/08/2022