OceanSAR-2: A Universal Feature Extractor for SAR Ocean Observation

• URL: http://arxiv.org/abs/2601.07392v1
• Date: Mon, 12 Jan 2026 10:20:43 GMT
• Title: OceanSAR-2: A Universal Feature Extractor for SAR Ocean Observation
• Authors: Alexandre Tuel, Thomas Kerdreux, Quentin Febvre, Alexis Mouche, Antoine Grouazel, Jean-Renaud Miadana, Antoine Audras, Chen Wang, Bertrand Chapron,
• Abstract summary: We present OceanSAR-2, the second generation of our foundation model for SAR-based ocean observation.<n>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.
• Score: 55.978228064498865
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: 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.

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