We extend the primal-dual neural network (PDNet) in the multi-contrast sense and propose a MC-PDNet architecture which takes full advantage of multi-contrast information.
We exploit CNN-based method along with multi-scale and dilated convolution with residual connection concepts for hyperspectral image classification on exclusive real time data set.