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ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning
[article]
2020
arXiv
pre-print
Most of the available advanced misfit functions for full waveform inversion (FWI) are hand-crafted, and the performance of those misfit functions is data-dependent. Thus, we propose to learn a misfit function for FWI, entitled ML-misfit, based on machine learning. Inspired by the optimal transport of the matching filter misfit, we design a neural network (NN) architecture for the misfit function in a form similar to comparing the mean and variance for two distributions. To guarantee the
arXiv:2002.03163v2
fatcat:yrtuvx4gpjhplkp7nofm5j6pgu