Satellite image classification using the concept of deep learning (convolutional neural network) using Matlab

GUI based satellite image crop classification using deep learning neural network. Input : satellite image of Landsat 8 or LISS IV or Fused image of LISS IV with Landsat 8. satellite image has various land covers in it.... Process : Neural network should classify them into various classes. NN constructed using convolutional neural network / deep learning concept should segment the image based on spatial and spectral values. segmented image is given as input to next layer of NN and output layer should produce pixel locations of the image where a specific crop is found. Output: Classified image showing land covers and specific growth stage of crop present (image has majorly single crop alongwith other classes as water, road, building etc.