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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…