Unrolled ADMM networks with learnable regularization parameters and low-rank/sparse priors achieve slightly better remote sensing image denoising than prior methods.
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STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising
Unrolled ADMM networks with learnable regularization parameters and low-rank/sparse priors achieve slightly better remote sensing image denoising than prior methods.