| SAR2SAR: a semi-supervised despeckling algorithm for SAR images E Dalsasso, L Denis, F Tupin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 66 | 2021 |
| Image restoration for remote sensing: Overview and toolbox B Rasti, Y Chang, E Dalsasso, L Denis, P Ghamisi IEEE Geoscience and Remote Sensing Magazine 10 (2), 201-230, 2021 | 60 | 2021 |
| SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy E Dalsasso, X Yang, L Denis, F Tupin, W Yang Remote Sensing 12 (16), 2636, 2020 | 38 | 2020 |
| As if by magic: self-supervised training of deep despeckling networks with MERLIN E Dalsasso, L Denis, F Tupin IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 22 | 2021 |
| How to handle spatial correlations in SAR despeckling? Resampling strategies and deep learning approaches E Dalsasso, L Denis, F Tupin EUSAR 2021; 13th European Conference on Synthetic Aperture Radar, 1-6, 2021 | 12 | 2021 |
| Self-supervised training strategies for SAR image despeckling with deep neural networks E Dalsasso, L Denis, M Muzeau, F Tupin EUSAR 2022; 14th European Conference on Synthetic Aperture Radar, 1-6, 2022 | 9 | 2022 |
| A review of deep-learning techniques for SAR image restoration L Denis, E Dalsasso, F Tupin 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 411-414, 2021 | 8 | 2021 |
| Multitemporal Speckle Reduction With Self-Supervised Deep Neural Networks I Meraoumia, E Dalsasso, L Denis, R Abergel, F Tupin IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 7 | 2023 |
| Despeckling Sentinel-1 GRD Images by Deep-Learning and Application to Narrow River Segmentation N Gasnier, E Dalsasso, L Denis, F Tupin 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2995 …, 2021 | 7 | 2021 |
| Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning E Dalsasso, I Meraoumia, L Denis, F Tupin 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1081 …, 2021 | 4 | 2021 |
| Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica AM Ilisei, M Khodadadzadeh, E Dalsasso, L Bruzzone Image and Signal Processing for Remote Sensing XXIII 10427, 357-366, 2017 | 4 | 2017 |
| Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images I Meraoumia, E Dalsasso, L Denis, F Tupin IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| Débruitage multi-modal d'images radar à synthèse d'ouverture par apprentissage profond auto-supervisé V Gaya, E Dalsasso, L Denis, F Tupin, B Pinel-Puysségur, C Guérin GRETSI, 2023 | | 2023 |
| DESPECKLING OF DUAL-POL GRD SENTINEL-1 IMAGES IN EXTRA-WIDE MODE BY DEEP LEARNING I Meraoumia, R Debanshu, E Dalsasso, L Denis, F Tupin, A Marinoni International Geoscience and Remote Sensing Symposium (IGARSS) 2023, 2023 | | 2023 |
| MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation E Dalsasso, C Rambour, N Trouvé, N Thome | | 2023 |
| Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks D Coquenet, C Rambour, E Dalsasso, N Thome arXiv preprint arXiv:2307.06795, 2023 | | 2023 |
| Apprentissage autosupervisé pour le despeckling d'images SAR avec MERLIN: application aux images Sentinel-1 Stripmap E Dalsasso, L Denis, F Tupin GRETSI 2022 (Groupe de Recherche et d'Etudes de Traitement du Signal et des …, 2022 | | 2022 |
| Débruitage multi-temporel d'images radar à synthèse d'ouverture par apprentissage profond auto-supervisé I Meraoumia, E Dalsasso, L Denis, F Tupin GRETSI 2022, 2022 | | 2022 |
| Deep learning for SAR imagery: from denoising to scene understanding E Dalsasso Institut polytechnique de Paris, 2022 | | 2022 |
Loïc DenisProfessor, Université Jean Monnet (Lab. Hubert Curien CNRS - Université de Saint-Etienne - IOGS)Verified email at univ-st-etienne.fr
