DU-TRPCA alternates low-rank t-SVD and Top-K sparse transformer stages to denoise hyperspectral images, outperforming prior methods under mixed noise.
Diverse Region-Based CNN for Hyperspectral Image Classification,
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A TRPCA-Inspired Deep Unfolding Network for Hyperspectral Image Denoising via Thresholded t-SVD and Top-K Sparse Transformer
DU-TRPCA alternates low-rank t-SVD and Top-K sparse transformer stages to denoise hyperspectral images, outperforming prior methods under mixed noise.