Abstract: Density interface inversion is an important approach for quantitative interpretation of gravity data, used to reveal the morphology of structural interfaces such as the basement, Moho ...
Abstract: In recent years, deep learning (DL) methods have been extensively developed for inverse imaging problems (IIPs), encompassing supervised, self-supervised, and generative approaches. Most of ...
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