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Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.

Python 49.57% Jupyter Notebook 50.43%
feature-selection hyperspectral-image-classification hyperspectral-imaging multispectral-images convolutional-neural-networks pytorch-implementation indian-pines-dataset salinas-dataset

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hsi-bandselection's Issues

Issue on Interband reduction

Hey
Thanks for the code and nice work.

The inter band reduction module, does the algorithms 1, 2 are executed to get the selective influential bands ? Since at line 123, the code is opening the file 'Kochia_distanes_VIF12', which is already existing in the folder.

Whether the influential bands are selected using the algorithm or hard coded bands are being used ? Because in utils.py, under load_data function, the bands are hard coded and the indexes are given.

I am finding difficulty in runnning the repo

Thanks in advance

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