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cs.CV2026
High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification
Boxiang Yang, Ning Chen, Xia Yue +6
Recently, Hyperspectral Image (HSI) classification has attracted increasing attention in remote sensing. However, HSI data are inherently high-dimensional but low-rank, with discri…
cs.CV2025
HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts
Xia Yue, Anfeng Liu, Ning Chen +4
Hyperspectral image (HSI) classification models are highly sensitive to distribution shifts caused by real-world degradations such as noise, blur, compression, and atmospheric effe…
cs.CV2023
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models
Ning Chen, Jun Yue, Leyuan Fang +1
Hyperspectral Image (HSI) classification is an important issue in remote sensing field with extensive applications in earth science. In recent years, a large number of deep learnin…