Official codes of "Unsupervised Pansharpening via Low-rank Diffusion Model"
Pretrained diffusion model can be downloaded from
https://github.com/wgcban/ddpm-cd#arrow_forwardpre-trained-models--trainvaltest-logs
Chikusei: https://naotoyokoya.com/Download.html
Houston: https://hyperspectral.ee.uh.edu/?page id=459
Pavia: https://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes
WV3: https://github.com/liangjiandeng/PanCollection#1--the-training-and-testing-datasets-for-worldview-3
Use data/generate_data.m to generate test data.
run python3 test_single.py -gpu '(gpu)' -dr (dataroot) -dn (dataname) -rs (resume_state)
gpu: int
dataroot: str, e.g. /path/Chikusei.mat
dataname: str, e.g. Chikusei
resume_state: str, e.g. /path/I190000_E97
run python3 test_list.py -gpu '(gpu)' -dr (dataroot) -dn (dataname) -rs (resume_state)