no code implementations • 31 Mar 2023 • Panagiotis Agrafiotis, Anastastios Doulamis, Andreas Georgopoulos
Towards this direction, some of the most popular state of the art CNN (Convolutional Neural Network) architectures are deployed and modified to binary classify the images or image patches by predicting a specific class for the tested imagery; 'Crack' or 'No crack', and detect and localize those cracks on the RGB imagery with high accuracy.
no code implementations • 20 Dec 2022 • Panagiotis Agrafiotis, Konstantinos Karantzalos, Andreas Georgopoulos
Mapping the seafloor with underwater imaging cameras is of significant importance for various applications including marine engineering, geology, geomorphology, archaeology and biology.
no code implementations • 27 Feb 2019 • Panagiotis Agrafiotis, Dimitrios Skarlatos, Andreas Georgopoulos, Konstantinos Karantzalos
The determination of accurate bathymetric information is a key element for near offshore activities, hydrological studies such as coastal engineering applications, sedimentary processes, hydrographic surveying as well as archaeological mapping and biological research.