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, ...
Abstract: Over the past decades, numerous efforts have been attempted to enhance the temporal resolution and accuracy of subsurface ground-penetrating radar (GPR) data by means of blind deconvolution ...
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