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