This deliverable introduces AI-based tools that improve archaeological data analysis and interpretation, suggesting better methods for cultural heritage management.
Key Points
This project aims to develop tools that enhance the analysis and interpretation of complex archaeological datasets using AI and remote sensing techniques.
Developed S.A.D.A. for analyzing satellite and UAV imagery, integrating various analytical techniques.
Introduced AIRS-GEO for interpreting heterogeneous geophysical data using self-organizing maps and spatial autocorrelation methods.
Integrated workflows for archaeological landscape analysis and subsurface investigation.
S.A.D.A. reduces technical barriers for archaeologists and enhances efficiency in analyzing large datasets.
AIRS-GEO identifies significant spatial patterns, improving the detection of buried archaeological structures.
Both tools provide a comprehensive framework that supports both large-scale and detailed archeological investigations.