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: Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, ...
This is a concise Python 3 programming tutorial for people who think that reading is boring. I try to show everything with simple code examples; there are no long and complicated explanations with ...
If you want to train the models with Shape Constraint, please install AlphaTransform. Download our simulated galaxy dataset from Google Drive. To train the models ...
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