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PSRT

Code for the paper: "PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion"

Plateform

Python 3.8.5 + Pytorch 1.11.0


Pretrained models

The pretrained checkpoints list in the .\pretrained model\


Source training && testing codes

main_x4.py: The training function of our PSRT.

eval_x4.py: The testing function of our PSRT.

model_SR.py: The network of our PSRT.


Data

The simulation of our data refers to [1] and [2].

Complete training and test data download link:

  1. https://pan.baidu.com/s/1SLR0QKVyMWOOuYIYgcNv_Q?pwd=7ja6

[1] Akhtar, Naveed, Faisal Shafait, and Ajmal Mian. "Sparse Spatio-spectral Representation for Hyperspectral Image Super-Resolution." ECCV, 2014. 63-78.

[2] N. Yokoya, C. Grohnfeldt, and J. Chanussot, "Hyperspectral and multispectral data fusion: a comparative review of the recent literature," IEEE Geoscience and Remote Sensing Magazine, vol.5, no. 2, pp. 29-56, June 2017.


Bib reference

If you find this code helpful, please kindly cite:

@ARTICLE{dengtgrs2023,

author={Shang-Qi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Danfeng Hong, Gemine Vivone },

journal={ IEEE Transactions on Geoscience and Remote Sensing },

title={ PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion },

year={2023},

volume={64},

number={},

pages={},

doi={ 10.1109/TGRS.2023.3244750 } }