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: Inspired by the concept of algorithmic unrolling, a deep learning-based distorted-Born iterative method (DBIM) is proposed for microwave imaging with inhomogeneous background. To relax the ...
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