As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method known for its ...
Abstract: Hyperspectral images (HSIs), composed of hundreds of spectral bands per pixel, require efficient compression methods to achieve compact representations while preserving reconstruction ...
Deep NMF and Autoencoder: A Comparative Analysis for Hyperspectral Unmixing Using Prisma Real Images
Abstract: In hyperspectral data, mixed pixels are frequent due to the low-medium spatial resolution of the imaging spectrometer, or to intimate mixing effects. Hence the process of blind hyperspectral ...
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