Code for the paper: "GuidedNet: A General CNN Fusion Framework via Highresolution Guidance for Hyperspectral Image Super-resolution", TCYB, 2023.
Python 3.8
Tensorflow 1.15.2
TensorLayer 1.8.0rc
main_train.py for training code, and
test.py for testing code
The traning data are too big, they are not provided. You can follow the simulation method in the paper and generate the .mat file for training
Test data include，
Cave: https://pan.baidu.com/s/1Grc3K0dp9N8oFfqUDPYTGQ?pwd=7833 code：7833
Harvard: https://pan.baidu.com/s/18tGPamlNz20cPPq3TvyyAw?pwd=4rly code：4rly
@ARTICLE{10035506, author={Ran, Ran and Deng, Liang-Jian and Jiang, Tai-Xiang and Hu, Jin-Fan and Chanussot, Jocelyn and Vivone, Gemine}, journal={IEEE Transactions on Cybernetics}, title={GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution}, year={2023}, volume={}, number={}, pages={1-14}, doi={10.1109/TCYB.2023.3238200}}