Compared to other advanced and representative models on six real-world datasets, the experimental results demonstrate that the MSDformer has a relative performance improvement of an average of 8.1%. MSDformer also has lower memory usage and temporal consumption, making it more advantageous for long-...
MSDformer The pytorch code of hyperspectral image super-resolution method MSDformer. Requirements Python 3.6.13 Pytorch 1.8. Preparation To get the training set, validation set and testing set, refer to SSPSR to download the mcodes for cropping the hyperspectral image. Training To train MSDformer,...
Python 3.6.13 Pytorch 1.8. Preparation To get the training set, validation set and testing set, refer to SSPSR to download the mcodes for cropping the hyperspectral image. Training To train MSDformer, run the following command. sh demo.sh ...
Dr. Li joins Ascletis from MSD China, where he served as Global Vice President and General Manager of R&D Center China since 2011. He spent the early part of his tenure building MSD China into a fully integrated development organization w...