qzhang95 / hsid-cnn Goto Github PK

I have read your paper, and I find you use the DnCNN and 3-D extension of DnCNN. But where have you found it? Could you tell me, please? I need the paper and code about the DnCNN

Hi, Can you provide the training/test data in matlab format, or suggest which pre-processing have you done to the entire washington DC image ? (I cannot subscript an account on Baidu for downloading the data).

Hi, sorry for interrupting.
Could you please kindly provide the training code as well?
Thank you~

Hi, I find the checkpoints/models released in this repo is a bit tricky for me since it is not mentioned in the paper.

In your paper, you apply the trained model to HSI denoising under different noise setting. By default, I would assume you use a single trained model to tackle all different noise setting.

But in your repo, you release two models, i.e. HSID-CNN_Realdata_iter_1000000 and HSID-CNN_noiselevel100_iter_600000.

So I was wondering, is that means you train multiple models to deal with each case respectively?
What's the model "HSID-CNN_Realdata_iter_1000000" resort to? How is that trained?

Thank you for your attention and looking forward to your reply.