He et al. (2026) Multitemporal Scale Fusion Transformers for Interpretable Sea Surface Temperature Prediction

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Qi He, Xiaohu Liu, Wei Zhao, Yanlin Du
• DOI: 10.1109/jstars.2026.3660290

Research Groups

[Not available in the provided text.]

Short Summary

This paper proposes the use of multitemporal scale fusion transformers to achieve interpretable predictions of sea surface temperature.

Objective

• To develop and apply multitemporal scale fusion transformers for accurate and interpretable prediction of sea surface temperature.

Study Configuration

• Spatial Scale: [Not specified in the provided text.]
• Temporal Scale: Multitemporal (implied by the title "Multitemporal Scale"). Specific scales are not detailed.

Methodology and Data

• Models used: Fusion Transformers (specifically "Multitemporal Scale Fusion Transformers").
• Data sources: [Not specified in the provided text.]

Main Results

[Not available in the provided text.]

Contributions

[Not available in the provided text.]

Funding

[Not available in the provided text.]

Citation

@article{He2026Multitemporal,
  author = {He, Qi and Liu, Xiaohu and Zhao, Wei and Du, Yanlin},
  title = {Multitemporal Scale Fusion Transformers for Interpretable Sea Surface Temperature Prediction},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3660290},
  url = {https://doi.org/10.1109/jstars.2026.3660290}
}