I’m also interested in using hyperspectral imaging and have been doing so using the same create_cnn_model that @florianl mentioned.
It’s worth noting that channels beyond the third are set to zero rather than randomly initialized.
On a somewhat related note, I cannot figure out how to apply Image transforms (like Resize or CropPad) to hyperspectral images. I suspect it’s because I’m treating the inputs as tensors rather than (PIL) Images but I am not sure (I am using a custom Image class, and I can verify that dihedral transforms do work). Either way, I can get a learner to train on these images but these image transformations seem to not be working. Has anybody ran into or solved this problem?
(I originally asked the question here but didn’t get any answers.)