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(IEEE GRSL 2026) Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution

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# 🚀 Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution, IEEE GRSL 2026.

## 📌 **Introduction**

This repository contains the official implementation of our paper:  
📄 *Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution* *(IEEE GRSL 2026)*

## 🛠 Requirements
* basicsr 1.3.4
* Python 3.8
* PyTorch  1.11.0.
* CUDA  11.3

## 🏋️‍♂️ Preparation
To get the training set, validation set and testing set, refer to SSPSR to download the mcodes for cropping the hyperspectral image.

## Training
To train SDANet, run the following command from the project root:<br>
```
./run_train.sh 0
```
Use another GPU by changing the index, e.g. `./run_train.sh 2`.

You can also pass the option file directly (same style as manual command):
```
./run_train.sh options/train/HSI/SDAnetChux4.yml 0
```

Equivalent direct command:
```
CUDA_VISIBLE_DEVICES=0 python ./basicsr/train.py -opt ./options/train/HSI/SDAnetChux4.yml
```

## Testing
To test SDANet, run the following command from the project root:<br>
```
./run_test.sh 0
```
Use another GPU by changing the index, e.g. `./run_test.sh 2`.

You can also pass the option file directly:
```
./run_test.sh options/test/HSI/test_SDAnetChux4.yml 0
```

Equivalent direct command:
```
CUDA_VISIBLE_DEVICES=0 python ./basicsr/test.py -opt ./options/test/HSI/test_SDAnetChux4.yml
```

## 📚 Citation

If you find this repository useful, please cite:

```bibtex
@ARTICLE{zty26grsl,
  author={Zhang, Tengya and Gao, Feng and Qi, Lin and Dong, Junyu and Du, Qian},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution}, 
  year={2026},
  volume={23},
  pages={1-5}}
```

## 📬 Contact

If you have any questions, feel free to contact us via email:

- 📧 Feng Gao: gaofeng@ouc.edu.cn

We hope **SDANet** helps your research ⭐ If you find our work useful, please consider citing the paper and starring this repository.

SDANet

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