4 papers
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
Ioannis Kakogeorgiou, Konstantinos Karantzalos
Although deep neural networks hold the state-of-the-art in several remote sensing tasks, their black-box operation hinders the understanding of their decisions, concealing any bias…
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou +2
\begin{abstract} The advent of multitemporal high resolution data, like the Copernicus Sentinel-2, has enhanced significantly the potential of monitoring the earth's surface and en…
Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning
Panagiotis Agrafiotis, Dimitrios Skarlatos, Andreas Georgopoulos +1
The determination of accurate bathymetric information is a key element for near offshore activities, hydrological studies such as coastal engineering applications, sedimentary proc…
Building up user confidence for the spaceborne derived global and continental land cover products for the Mediterranean region: the case of Thessaly
Ioannis Manakos, Christina Karakizi, Giannis Gkinis +1
Across globe and space agencies nations recognize the importance of homogenized land cover information, prone to regular updates, both in the context of thematic and spatial resolu…