Semi-Supervised W-KAN for Regularly Missing Seismic Data Reconstruction
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DOI: 10.1109/lgrs.2025.3583567
Abstract: Supervised seismic data reconstruction methods are often limited by the quality and quantity of labels in practical applications, and some self-supervised and unsupervised methods suffer from higher computational cost. In addition, most deep models trained… read more here.
Keywords: missing seismic; data reconstruction; reconstruction; seismic data ... See more keywords