HPAS generates synthetic training pairs from horizontal-component shear-wave noise via linear moment matching and additive-subtractive operations to train a model that suppresses leakage in vertical OBC data without clean labels.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.geo-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Horizontal-Component Prior-based Framework for Adaptive Shear-wave Leakage Suppression in OBC Data
HPAS generates synthetic training pairs from horizontal-component shear-wave noise via linear moment matching and additive-subtractive operations to train a model that suppresses leakage in vertical OBC data without clean labels.