Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations

This article proposes a denoising method based on sparse spectral-spatial and low-rank representations (SSSLRR) using the 3-D orthogonal transform (3-DOT). SSSLRR can be effectively used to remove the Gaussian and mixed noise. SSSLRR uses 3-DOT to decompose noisy HSI to sparse transform coefficients...

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