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An Aliasing-Free Low-Frequency Pretrained Model for Seismic Interpolation Using a Small Training Set
Abstract: High-density seismic data are critical for enhancing the accuracy of subsequent processing. Deep learning (DL) is useful in seismic interpolation due to its powerful nonlinear mapping ...
Abstract: This paper presents a novel non-rigid point set registration method that is inspired by unsupervised clustering analysis. Unlike previous approaches that treat the source and target point ...
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