Huang et al. (2026) Uncertainty-Guided Adversarial Diffusion Model for Sea Surface Temperature Super-Resolution

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Lei Huang, Ke Zhang, Xiaodong Wang, Jie Nie, Zhiqiang Wei
• DOI: 10.1109/tgrs.2026.3677438

Research Groups

The paper proposes an uncertainty-guided adversarial diffusion model to achieve super-resolution for sea surface temperature data.

Objective

• To develop and evaluate an uncertainty-guided adversarial diffusion model for enhancing the spatial resolution of sea surface temperature data.

Study Configuration

• Spatial Scale:
• Temporal Scale:

Methodology and Data

• Models used: Uncertainty-Guided Adversarial Diffusion Model
• Data sources: Sea Surface Temperature (SST) data (implied for super-resolution task)

Main Results

Contributions

Funding

Citation

@article{Huang2026UncertaintyGuided,
  author = {Huang, Lei and Zhang, Ke and Wang, Xiaodong and Nie, Jie and Wei, Zhiqiang},
  title = {Uncertainty-Guided Adversarial Diffusion Model for Sea Surface Temperature Super-Resolution},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3677438},
  url = {https://doi.org/10.1109/tgrs.2026.3677438}
}