iDaFormer: Invariable Domain Aware Deep Unfolding Transformer for Hyperspectral and Multispectral Image Fusion

This is a super-resolution algorithm that adresses the problem of insufficient prior learning in recent deep urolled network.
Experimental results on three public datasets and Worldview-2 Satellite images demonstrate that the proposed method outperforms six recent state-of-the-art (SOTA) methods

Flowchart

None

Result presentation

Guidance

Requirements

Environment

Python3.8
torch 1.12,torchvision 0.13.0
Numpy,Scipy

Datasets

CAVE dataset, Preprocessed CAVE dataset.

Note

For any questions, feel free to email me at caoxuhengcn@gmail.com.
If you find our work useful in your research, please cite our paper ^.^