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Document type:
Masterarbeit
Author(s):
Rodrigo Sanchez Cela
Title:
Full Waveform Inversion with Neural Network Based Ansatzfunctions
Abstract:
Computer imaging techniques are crucial in fields like medicine and engineering, where CT scans help diagnose patients, and non-destructive testing (NDT) ensures the safety of structures such as airplane wings. In this thesis, we study the full waveform inversion (FWI) problem from a deep learning point of view. FWI, initially developed in seismology and applied recently in NDT, is explored using various neural network architectures, namely convolutional and feed-forward neu- ral networks....     »
Supervisor:
Prof. Dr. Felix Dietrich
Advisor:
Qing Sun
Year:
2024
Quarter:
3. Quartal
Year / month:
2024-09
Month:
Sep
Language:
en
University:
Technical University of Munich
Faculty:
TUM School of Computation, Information and Technology
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