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.

翻译：我们提出了OceanSAR-2，这是用于基于SAR的海洋观测的基础模型的第二代。在我们早期版本（率先在Sentinel-1波模式数据上应用自监督学习）的基础上，OceanSAR-2依赖于改进的自监督学习训练和动态数据筛选策略，在提升性能的同时降低了训练成本。OceanSAR-2在下游任务中展现出强大的迁移性能，包括地球物理模式分类、海面风矢量与有效波高估计以及冰山检测。我们发布了标准化的基准数据集，为SAR海洋应用模型的系统性评估与进展奠定了基础。