KNLConv: Kernel-space Non-local Convolution for Hyperspectral Image Super-resolution

Code for the paper: "KNLConv: Kernel-space Non-local Convolution for Hyperspectral Image Super-resolution", TMM, 2024.

Plateform.

Python 3.8

Pytorch 1.8.0

Demo

You can start with main.py

Data

Data for Cave https://pan.baidu.com/s/1D6IR7WnwrGWFYscYhOY8Yw code: ggrq Note that the method for generating data in dataset using https://github.com/XieQi2015/MHF-net/tree/master/BMHF-net.

When calculating the quantitative index, we used matlab to calculate the result index because of the python accuracy problem.

Bib Reference

@article{ran2024knlconv, title={KNLConv: Kernel-space Non-local Convolution for Hyperspectral Image Super-resolution}, author={Ran, Ran and Deng, Liang-Jian and Zhang, Tian-Jing and Chang, Jianlong and Wu, Xiao and Tian, Qi}, journal={IEEE Transactions on Multimedia}, year={2024}, publisher={IEEE} }