The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
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Abstract: Deep learning has shown great promise in hyperspectral unmixing (HU), especially the unmixing methods based on autoencoder (AE) networks, which are the most prevalent these days. Since most ...
Abstract: Unlike general scenes, mineral hyperspectral images (HSIs) often exhibit similar spatial and spectral characteristics across different mines, making traditional classification methods less ...
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