Dear Sandeep,

Though the publishing the demo is beyond the scope of my work, I may suggest you to read a relevant paper on this, which is given below:

Yu, S., Jia, S., & Xu, C. (2017). Convolutional neural networks for hyperspectral image classification. Neurocomputing, 219, 88-98.

Dear Sandeep,

Though the publishing the demo is beyond the scope of my work, I may suggest you to read a relevant paper on this, which is given below:

Yu, S., Jia, S., & Xu, C. (2017). Convolutional neural networks for hyperspectral image classification. Neurocomputing, 219, 88-98.

Please see the followings:

https://github.com/KGPML/Hyperspectral

https://www.mathworks.com/products/neural-network/features.html

It can be done in R and Python using Tensorflow

Take a look at this python toolbox for hyperspectral deep learning:

https://deephyp.readthedocs.io/en/latest/index.html

It has some step by step examples which use the Pavia Uni dataset as an example, but you can easily replace it with Indian Pines.