Zhang et al. (2026) A Study on the Fusion of Multiple Linear Statistical Regression and Deep Learning Models for Sea Surface Wind Speed Retrieval in Typhoon Regions Based on FY-3D_MWRI Data

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yun Zhang, Xi Sun, Shuhu Yang, Qingjing Shi, Qifeng Qian, Chunyi Xiang, Jiaying Li, Binbin Li, Bo Peng, Zhonghua Hong
• DOI: 10.1109/tgrs.2026.3653022

Research Groups

[Information not available in the provided text.]

Short Summary

[Information not available in the provided text.]

Objective

• To retrieve sea surface wind speed in typhoon regions by fusing multiple linear statistical regression and deep learning models using FY-3D_MWRI data.

Study Configuration

• Spatial Scale: Typhoon regions.
• Temporal Scale: [Information not available in the provided text.]

Methodology and Data

• Models used: Multiple Linear Statistical Regression, Deep Learning Models (fusion approach).
• Data sources: FY-3D_MWRI Data.

Main Results

[Information not available in the provided text.]

Contributions

[Information not available in the provided text.]

Funding

[Information not available in the provided text.]

Citation

@article{Zhang2026Study,
  author = {Zhang, Yun and Sun, Xi and Yang, Shuhu and Shi, Qingjing and Qian, Qifeng and Xiang, Chunyi and Li, Jiaying and Li, Binbin and Peng, Bo and Han, Yanling and Hong, Zhonghua},
  title = {A Study on the Fusion of Multiple Linear Statistical Regression and Deep Learning Models for Sea Surface Wind Speed Retrieval in Typhoon Regions Based on FY-3D_MWRI Data},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3653022},
  url = {https://doi.org/10.1109/tgrs.2026.3653022}
}