3 citations · 8 across the 11 of their papers we have counts for
4 papers · 1 filter
Deep Learning Super Resolution for Satellite Cloud Mask Downscaling
Angelos Georgakis, Valentina Kanaki, Giorgos Giannopoulos +4
A vast amount of optical satellite data is being transmitted to Earth-based servers every day, and more than half of this data is affected by haze or clouds. Additionally, this dat…
HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
Stella Girtsou, Konstantinos Alexis, Giorgos Giannopoulos +1
The increasing frequency and severity of climate related disasters have intensified the need for real time monitoring, early warning, and informed decision-making. Earth Observatio…
Distilling Vision Transformers for Distortion-Robust Representation Learning
Konstantinos Alexis, Giorgos Giannopoulos, Dimitrios Gunopulos
Self-supervised learning has achieved remarkable success in learning visual representations from clean data, yet remains challenging when clean observations are sparse or not avail…
Next day fire prediction via semantic segmentation
Konstantinos Alexis, Stella Girtsou, Alexis Apostolakis +2
In this paper we present a deep learning pipeline for next day fire prediction. The next day fire prediction task consists in learning models that receive as input the available in…