ENSURE: Innovative survey techniques for detection of surface and sub-surface archaeological remains


Project title
ENSURE: Innovative survey techniques for detection of surface and sub-surface archaeological remains
Budget
40,000
Code
EX/200145
Project Coordinator
Status
On going Project
Funding Program
Cyprus University of Technology
Abstract
The idea is built upon innovative developments in the field of UAVs sensors (drones) and image processing cloud platforms for refinement of many datasets using sophisticated image processing techniques. Before the UAV solution, a space-based observation process is recommended for extensive projects, to prioritize areas of interest based on the archaeological evidence. The project integrates state-of-the-art technologies into a single point, a Geographical Information System (GIS) improving thus the detection and success rate of both surface and subsurface archaeological findings.

During the design of a project, parallel activities can be carried out, providing in short-time useful information to the engineers and designers. This solution will be based upon the cutting edge non-destructive remote sensing technologies.
 

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Ημερομηνία ΈκδοσηςΤίτλοςΣυγγραφέας
13-Απρ-2023Automated Archaeological Feature Detection Using Artificial Intelligence on UAV Imagery: Preliminary ResultsArgyrou, Argyro ; Agapiou, Athos 
2Δεκ-2021Detection of archaeological surface ceramics using deep learning image-based methods and very high-resolution UAV imageriesAgapiou, Athos ; Vionis, Athanasios K. ; Papantoniou, Giorgos 
313-Σεπ-2022An experimental study for the detection of surface ceramics through Unmanned Aerial Vehicles (UAV)Argyrou, Argyro ; Lysandrou, Vasiliki ; Christoforou, Michalis ; Agapiou, Athos 
41-Απρ-2023Exploring the largest known Bronze Age earthworks in Europe through medium resolution multispectral satellite imagesAgapiou, Athos ; Hegyi, Alexandru ; Gogâltan, Florin ; Stavilă, Andrei ; Sava, Victor ; Sarris, Apostolos ; Floca, Cristian ; Dorogostaisky, Leonard 
512-Ιαν-2023Observations of Archaeological Proxies through Phenological Analysis over the Megafort of Csanádpalota-Juhász T. tanya in Hungary Using Sentinel-2 ImagesAgapiou, Athos ; Hegyi, Alexandru ; Stavilă, Andrei 
68-Αυγ-2022An overview of the utilization of Machine Learning (ML) in archaeological research: Earth observation data and analysis of endangered monuments and sites using machine learning techniquesArgyrou, Argyro ; Agapiou, Athos 
726-Νοε-2022A Review of Artificial Intelligence and Remote Sensing for Archaeological ResearchArgyrou, Argyro ; Agapiou, Athos