Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments. - Aurélien Colin; Charles Peureux; Romain Husson; Nicolas Longépé; Régis Rauzy; Ronan Fablet; Pierre Tandeo; Samir Saoudi; Alexis Mouche; Gérald Dibarboure (IGARSS, 2021)

Wind Direction Estimation and Accuracy Retrieval from Sentinel-1 SAR Images Under Thermal and Dynamical Unstable Conditions. - Romain Husson; Nicolas Longépé; Alexis Mouche; Henrick Berger; Chunze Lin; Olivier Archer; Aurélien Colin (IGARSS, 2021)

Prediction of Categorized Sea Ice Concentration From Sentinel-1 SAR Images Based on a Fully Convolutional Network. - Iris de Gélis; Aurélien Colin; Nicolas Longépé (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset. - Aurélien Colin; Charles Peureux; Romain Husson; Ronan Fablet; Pierre Tandeo (IGARSS, 2022)

Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Nicolas Longépé; Ronan Fablet (CoRR, 2022)

Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. - Aurélien Colin; Ronan Fablet; Pierre Tandeo; Romain Husson; Charles Peureux; Nicolas Longépé; Alexis Mouche (Remote. Sens., 2022)

On the use of deep learning for ocean SAR image semantic segmentation. (De l'utilisation de l'apprentissage profond pour la segmentation d'images SAR océaniques). - Aurélien Colin (2022)

Reduction of Rain-Induced Errors for Wind Speed Estimation on SAR Observations Using Convolutional Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Ronan Fablet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Rainfall regression from C-band Synthetic Aperture Radar using Multi-Task Generative Adversarial Networks. - Aurélien Colin; Romain Husson (CoRR, 2024)

Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Nicolas Longépé; Ronan Fablet (IEEE Trans. Geosci. Remote. Sens., 2024)