Optimising seismic imaging design parameters via bilevel learning

DOI10.1088/1361-6420/AD797AMaRDI QIDQ6641753

Silvia Gazzola, Euan A. Spence, I. G. Graham, Shaunagh Downing

Publication date: 21 November 2024

Published in: Inverse Problems (Search for Journal in Brave)

zbMATH Keywords

seismic imagingfull waveform inversionbilevel learning

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Geophysics (86Axx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx)

Cites Work

• Fast Bayesian optimal experimental design for seismic source inversion
• Bilevel optimization. Advances and next challenges
• A penalty method for PDE-constrained optimization in inverse problems
• Full Waveform Inversion and the Truncated Newton Method
• A 2D nonlinear inversion of well-seismic data
• A comparison of seismic velocity inversion methods for layered acoustics
• Numerical methods for experimental design of large-scale linear ill-posed inverse problems
• Numerical Optimization
• Learning regularization functionals a supervised training approach
• Inverse Problem Theory and Methods for Model Parameter Estimation
• Total Variation Regularization Strategies in Full-Waveform Inversion
• A Limited Memory Algorithm for Bound Constrained Optimization
• High resolution 3D ultrasonic breast imaging by time-domain full waveform inversion
• Inexact Newton-type methods based on Lanczos orthonormal method and application for full waveform inversion
• Bilevel Methods for Image Reconstruction
• Analyzing inexact hypergradients for bilevel learning

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