Comments (2)
@TanmDL Thank you for your interest in our work. As described in the paper, the input of the MSCNN is a w by w
neighbor region of each pixel in the image. For those pixels distributing on the edge of the image, we fill the vacant pixels of the neighbor by mirroring the image. This procedure is implemented by the MirrowCut
function.
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Thank you. Now I got the idea. :)
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Related Issues (12)
- About group strategy test accuracy in the paper HOT 10
- Hello, I want to get the code of comparative Ablation Experiment in the paper, is that ok
- Training on other datasets HOT 10
- Need help
- Which versions of keras and theano were used in this implementation? HOT 2
- ValueError: cannot reshape array of size 435 into shape (145,145,3) HOT 3
- use of palette HOT 2
- use of s1s2 in HyperspectralSamples function of HyperFunctions module HOT 1
- X[:,j:j+(nb_features-1)*timestep+1:timestep]
- How did you choose the values of train_num_array for different datasets in HyperspectralSamples function HOT 2
- The `pool_size` argument must be a tuple of 2 integers. Received: (1, 2, 2) HOT 1
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