zhouchuanxu / plrdiff

Official codes of "Unsupervised Pansharpening via Low-rank Diffusion Model"

PLRDiff

Official codes of "Unsupervised Pansharpening via Low-rank Diffusion Model"

paper (arxiv)

Load pretrained Model

Pretrained diffusion model can be downloaded from

https://github.com/wgcban/ddpm-cd#arrow_forwardpre-trained-models--trainvaltest-logs

Download Dataset

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

Prepare test dataset

Use data/generate_data.m to generate test data.

Testing

Single HSI testing

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

A list of HSIs testing

run python3 test_list.py -gpu '(gpu)' -dr (dataroot) -dn (dataname) -rs (resume_state)

Connections

[email protected]

<script defer src="https://use.fontawesome.com/releases/v5.0.13/js/all.js"></script> <script defer src="https://use.fontawesome.com/releases/v5.0.13/js/v4-shims.js"></script>