Pytorch codes for the "Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution", link.
Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution
Wankun Chen, Feng Gao, Yanhai Gan, Jingchao Cao, Junyu Dong and Qian Du.
Published in TGRS.
Please refer to the following simple steps for installation. Datas can be download from the public link [HYCOM] + [OISST] + [GHRSST].
cd datas
python nc2png.py # nc file to png
python sub.py # obtain low-resolution data
sr_datasets/
├── DIV2K/
│ ├── CS/
│ │ ├── HR01.png
│ │ └── ...
│ └── LR/
│ ├── X2/
│ │ ├── HR01x2.png
│ │ └── ... (2x downsampled data)
│ ├── X3/ ... (3x downsampled data)
│ └── X4/ ... (4x downsampled data)
└── benchmark/
├── HYCOM/
│ ├── CS/
│ │ ├── hycom_001.png
│ │ └── ...
│ └── LR/
│ ├── X2/ (2x downsampled data)
│ ├── X3/ (3x downsampled data)
│ └── X4/ (4x downsampled data)
├── OISST/ ...
└── GHRSST/ ...cd wmsr
python train.py --config ./configs/wmsr_x4.yml
If you believe that WMSR has been helpful to your research or work, please consider citing the following works:
@ARTICLE{11187314,
author={Chen, Wankun and Gao, Feng and Gan, Yanhai and Cao, Jingchao and Dong, Junyu and Du, Qian},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution},
year={2025},
volume={63},
pages={1-12},
doi={10.1109/TGRS.2025.3616324}}