Abstract: Seismic deconvolution is essential for extracting layer information from noisy seismic data, but it is an ill-posed problem with nonunique solutions. Inspired by classical optimization ...
Abstract: Deep unrolling networks have rapidly gained popularity in image reconstruction by integrating data-driven networks with iterative model-driven reconstruction algorithms. Technically, ...
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