MSDiff maps degraded hyperspectral data to a low-dimensional manifold and uses diffusion to regularize features for more robust classification under complex degradations.
Fusing spatial attention with spectral-channel attention mechanism for hyperspectral image classification via encoder–decoder networks
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High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification
MSDiff maps degraded hyperspectral data to a low-dimensional manifold and uses diffusion to regularize features for more robust classification under complex degradations.