Alan23333 / MTNet-SVD

A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening (MTNet), JSTARS 2022

files

utiles.py, transformer.py, NetWork.py,Data_processing.py,main.py

Requirement

python 3.8, torch 1.10.1

Dataset prepare

Data_processing.py

Network

MTNet consists of the Encoder_Decoder module in NetWork.py and the GSNet module in transformer.py

Run

run mian.py

Bibtex

@ARTICLE{9858621,
  author={Shang, Yanli and Liu, Jianjun and Yang, Jinlong and Wu, Zebin},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
  title={A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening}, 
  year={2022},
  volume={15},
  number={},
  pages={7187-7202},
  doi={10.1109/JSTARS.2022.3199207}}