Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29959
Title: | Automated Archaeological Feature Detection Using Artificial Intelligence on UAV Imagery: Preliminary Results | Authors: | Argyrou, Argyro Agapiou, Athos |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Artificial Intelligence (AI);Object detection;UAV;Surface ceramic detection | Issue Date: | 3-Apr-2023 | Source: | Computer Applications and Quantitative Methods in Archaeology - CAA 2023, Amsterdam 3 – 6 April 2023 | Project: | ENSURE: Innovative survey techniques for detection of surface and sub-surface archaeological remains | Conference: | Computer Applications and Quantitative Methods in Archaeology | URI: | https://hdl.handle.net/20.500.14279/29959 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Conference Papers | Affiliation : | Cyprus University of Technology Earth Observation Cultural Heritage Research Lab |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Automated Archaeological Feature Detection.pdf | 252.25 kB | Adobe PDF | View/Open |
CORE Recommender
Page view(s) 20
161
Last Week
1
1
Last month
1
1
checked on Nov 21, 2024
Download(s) 20
96
checked on Nov 21, 2024
Google ScholarTM
Check
This item is licensed under a Creative Commons License