The use of a pretrained image classification model (trained on cats and dogs. for example) as a perceptual loss function for hyperspectral super-resolution and pansharpening tasks is surprisingly effective. However. RGB-based networks do not take full advantage of the spectral information in hyperspectral data. https://www.majesticmalinois.com/product-category/foundation-powder/
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis
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