28 citations · 37 across the 8 of their papers we have counts for
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SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu +1
Denoising is a crucial preprocessing step for hyperspectral images (HSIs) due to noise arising from intra-imaging mechanisms and environmental factors. Long-range spatial-spectral…
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu +3
Hyperspectral images (HSIs) often suffer from noise arising from both intra-imaging mechanisms and environmental factors. Leveraging domain knowledge specific to HSIs, such as glob…
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
Fengchao Xiong, Shuyin Tao, Jun Zhou +3
Deep learning (DL) based hyperspectral images (HSIs) denoising approaches directly learn the nonlinear mapping between observed noisy images and underlying clean images. They norma…