huq1an / gelin_tgrs

About PyTorch code for TGRS paper "A Group-based Embedding Learning and Integration Network for Hyperspectral Image Super-resolution"

GELIN_TGRS

About PyTorch code for TGRS paper "A Group-based Embedding Learning and Integration Network for Hyperspectral Image Super-resolution"

@article{wang2022group,
  title={A Group-Based Embedding Learning and Integration Network for Hyperspectral Image Super-Resolution},
  author={Wang, Xinya and Hu, Qian and Jiang, Junjun and Ma, Jiayi},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--16},
  year={2022},
  publisher={IEEE}
}

To train the method, run

sh demo.sh

gelin_tgrs's Issues

Assistance Needed: Code Execution Issue on CAVE Dataset

I trust this email finds you well. I am one of the readers who recently delved into your work on GELIN and attempted to run your provided code on the 4X dataset from CAVE. Firstly, I want to express my sincere gratitude for providing such exceptional work and generously sharing your research findings.

However, while attempting to execute your code (using the parameters you provided), I encountered a small issue that I hope to seek your assistance with. As per your paper and code, you described the grouping of the dataset, such as in the case of the CAVE dataset, where there are 31 spectral bands. Each group comprises 8 bands with a 2-band overlap, and in cases where the last group contains fewer than 8 bands, it should encompass the last 8 bands. However, when running the code, an error occurred, as depicted in the attached image, where the last group does not consist of 8 bands.

I am eager to understand how you addressed this issue. Are there specific methods or techniques that allow the program to run correctly even when the last group has fewer than 8 bands? If you could share some insights or suggestions on resolving this issue, I would greatly appreciate it.

Looking forward to your response and once again, thank you for your invaluable time and outstanding work.