MSDiff maps degraded hyperspectral data to a low-dimensional manifold and uses diffusion to regularize features for more robust classification under complex degradations.
Mini-uav-borne hyperspectral remote sensing: From observation and processing to applications,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.