Neural tangent kernel from neural reparameterization modulates sensitivity and wave tangent kernels to produce spectral filtering, wavenumber modulation, and frequency bias that improve NeurFWI convergence.
Direct full waveform inversion of DAS fiber-optic data,
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
physics.geo-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
A VSS-based joint FWI framework enables direct multi-deployment inversion of geophone and DAS data, yielding more accurate elastic parameter recovery than single-sensor cases on Marmousi benchmarks when sensors provide complementary information.
A new offset-continuation-trajectory stacking operator based on CRP traveltime kinematics is proposed for 5D prestack seismic data regularization and enhancement via data-driven optimization.
citing papers explorer
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Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel
Neural tangent kernel from neural reparameterization modulates sensitivity and wave tangent kernels to produce spectral filtering, wavenumber modulation, and frequency bias that improve NeurFWI convergence.
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Joint elastic full waveform inversion of multi-component geophone and distributed acoustic sensing data
A VSS-based joint FWI framework enables direct multi-deployment inversion of geophone and DAS data, yielding more accurate elastic parameter recovery than single-sensor cases on Marmousi benchmarks when sensors provide complementary information.
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Offset-continuation-trajectory stacking based on common-reflection-point kinematics for five-dimensional prestack dataset regularization and enhancement
A new offset-continuation-trajectory stacking operator based on CRP traveltime kinematics is proposed for 5D prestack seismic data regularization and enhancement via data-driven optimization.