We present OceanSAR-2, the second generation of our foundation model for SAR-based ocean observation. Building on our earlier release, which pioneered self-supervised learning on Sentinel-1 Wave Mode data, OceanSAR-2 relies on improved SSL training and dynamic data curation strategies, which enhances performance while reducing training cost. OceanSAR-2 demonstrates strong transfer performance across downstream tasks, including geophysical pattern classification, ocean surface wind vector and significant wave height estimation, and iceberg detection. We release standardized benchmark datasets, providing a foundation for systematic evaluation and advancement of SAR models for ocean applications.
Cite
@article{arxiv.2601.07392,
title = {OceanSAR-2: A Universal Feature Extractor for SAR Ocean Observation},
author = {Alexandre Tuel and Thomas Kerdreux and Quentin Febvre and Alexis Mouche and Antoine Grouazel and Jean-Renaud Miadana and Antoine Audras and Chen Wang and Bertrand Chapron},
journal= {arXiv preprint arXiv:2601.07392},
year = {2026}
}