This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
I've been trying to write the code about SS-GAN under the guide of your paper "Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification" recently. And I am little bit confused with the architecture of the Generator. Did you used the Conv3Dtransposed(Keras) in your code? And could you please provide more details such as the
"subsample"? Thanks
I've been trying to write the code about SS-GAN under the guide of your paper "Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification" recently. And I am little bit confused with the architecture of the Generator. Did you used the Conv3Dtransposed(Keras) in your code? And could you please provide more details such as the "subsample"? Thanks