DP-TTA: Test-Time Adaptation for Transient Electromagnetic Signal Denoising via Dictionary-Driven Prior Regularization
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DOI: 10.1109/tgrs.2025.3620531
Abstract: The transient electromagnetic (TEM) method is widely used in various geophysical applications, providing valuable insights into subsurface properties. However, time-domain TEM signals are often submerged in various types of noise. While recent deep learning-based denoising… read more here.
Keywords: driven prior; dictionary driven; prior regularization; test time ... See more keywords