| Deep learning for downscaling remote sensing images: Fusion and super-resolution M Sdraka, I Papoutsis, B Psomas, K Vlachos, K Ioannidis, K Karantzalos, ... IEEE Geoscience and Remote Sensing Magazine 10 (3), 202-255, 2022 | 22 | 2022 |
| A temporal deep convolutional neural network model on Sentinel-1 image time series for pixel-wise flood classification K Vlachos, A Moumtzidou, I Gialampoukidis, S Vrochidis, I Kompatsiaris IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 3 | 2022 |
| Towards a Paradigm Shift on Mapping Muddy Waters with Sentinel-2 Using Machine Learning C Psychalas, K Vlachos, A Moumtzidou, I Gialampoukidis, S Vrochidis, ... Sustainability 15 (18), 13441, 2023 | 1 | 2023 |
| WQEMS platform for inland surface water bodies' monitoring: serving user communities and supporting expert analyses MG Scarpino, M Matera, P Bauer, I Manakos, A Kita, K Vlachos, A Bozas, ... Ninth International Conference on Remote Sensing and Geoinformation of the …, 2023 | | 2023 |
| Investigation of meso-scale Sentinel-3 product along-track correlations and the potential of inter-track SSHA estimation using machine learning K Vlachos | | 2019 |
| Evaluation of Crop Water Requirements estimated from Sentinel 2 MSI and Landsat 8 OLI Earth Observation data in MOSES DSS K Vlachos | | 2018 |
| Deep Learning for Downscaling Remote Sensing Images M SDRAKA, I PAPOUTSIS, B PSOMAS, K VLACHOS, K IOANNIDIS, ... | | |
