I am using Indian Pines as the test hyperspectral data for image classification. I have already done classical methods like Gaussian Mixture , SVM and Random Forest classifier.

Now , to compare these results well with Landsat-5data (which is cropped over the Indian Pines region (in North-western Indiana) and spatially normalised as per hyperspectral spatial resolution) , how do spectrally resample the multispectral dataset (Landsat-5) with its micrometer resolution to match with hyperspectral nanometer resolution.

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