These publications have been fully or partially funded by ASTRAL project.
To have a full research on HAL : search_ASTRAL
The codes associated to some of the publications are available here : RING
2022
Conferences
Self-supervised training strategies for SAR image despeckling with deep neural networks Emanuele Dalsasso, Loïc Denis, Max Muzeau, Florence Tupin 14th European Conference on Synthetic Aperture Radar (EUSAR), Jul 2022, Leipzig, Germany
2023
Journal papers
Multi-temporal speckle reduction with self-supervised deep neural networks, Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin IEEE Transactions on Geoscience and Remote Sensing, 2023
A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas Zoé Berenger, Loïc Denis, Florence Tupin, Laurent Ferro-Famil, Yue Huang IEEE Geoscience and Remote Sensing Letters
Conferences
Débruitage multi-modal d’images radar à synthèse d’ouverture par apprentissage profond auto-supervisé Victor Gaya, Emanuele Dalsasso, Loïc Denis, Florence Tupin, Béatrice Pinel-Puysségur, Cyrielle Guérin GRETSI, Aug 2023, Grenoble, France
APPLYING DEEP LEARNING TO P-BAND SAR TOMOGRAPHIC IMAGING IN PREPARATION FOR THE FUTURE BIOMASS MISSION Zoé Berenger, Loïc Denis, Florence Tupin, Laurent Ferro-Famil IGARSS, Jul 2023, Pasadena, United States
2024
Journal papers
Robustness to spatially correlated speckle in Plug and Play polSAR depseckling, C. Ulondu Mendes, L. Denis, C. Deladalle, F. Tupin, IEEE Transactions on Geoscience and Remote Sensing, 2024
MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation, E. Dalsasso, C. Rambour, F. Brigui, N. Thome, Computer Vision and Image Understanding CVIU, 2024
Comments on “PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling With Masked Networks”IEEE Geoscience and Remote Sensing Letters, 2024, 21, pp.1-2. ⟨10.1109/LGRS.2024.3387994⟩
Conferences
Unsupervised radiometric change detection from synthetic aperture radar images Thomas Bultingaire, Inès Meraoumia, Christophe Kervazo, Loïc Denis, Florence Tupin 32nd European Signal Processing Conference EUSIPCO 2024, Aug 2024, Lyon, France
Self-supervised learning of deep despeckling networks with MERLIN: ensuring the statistical independence of the real and imaginary parts Emanuele Dalsasso, Frédéric Brigui, Loïc Denis, Rémy Abergel, Florence Tupin, European Conference on Synthetic Aperture Radar, Apr 2024, Munich (Allemagne), Germany
Learning a versatile representation of SAR data for regression and segmentation by leveraging self-supervised despeckling with MERLIN Emanuele Dalsasso, Clément Rambour, Loïc Denis, Florence Tupin, European Conference on Synthetic Aperture Radar, Apr 2024, Munich (Allemagne), Germany
2025
Journal papers
POLSAR2POLSAR: A SEMI-SUPERVISED DESPECKLING ALGORITHM FOR POLARIMETRIC SAR IMAGES Cristiano Ulondu Mendes, Emanuele Dalsasso, Yi Zhang, Loïc Denis, Florence Tupin, ISPRS Journal of Photogrammetry and Remote Sensing, 2025
Just Project! Multi-Channel Despeckling, the Easy Way Loïc Denis, Emanuele Dalsasso, Florence Tupin, IEEE Transactions on Geoscience and remote Sensing, 2025
