Skip to content

IHCLab/UALNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

For demonstration, please download model parameters and demo data from the following link: Google Drive Download Link Then, place the model parameters and data in the ./Demo_UALNet/Demo/Checkpoint and ./Demo_UALNet/Demo/Demo data folders, respectively.

About

S.-S. Young, and Chia-Hsiang Lin, “Spectral super-resolution via adversarial unfolding and data-driven spectrum regularization: From multispectral satellite data to NASA hyperspectral image,” accepted by IEEE/CVF Computer Vision and Pattern Recognition, 2026.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages