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

Read full text
Authors: Alexandre Tuel, Thomas Kerdreux, Quentin Febvre, Alexis Aurelien Mouche, Antoine Grouazel, Jean-Renaud Miadana, Antoine Audras, Chen Wang, Bertrand Chapron
Cited by: 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.

Fields of Study & Subjects

Ocean Waves and Remote Sensing Advanced SAR Imaging Techniques Synthetic Aperture Radar (SAR) Applications and Techniques

Publication details

Journal / source
arXiv (Cornell University)
Publication date
12 January 2026
Language
EN
Document type
Preprint