Physics-Informed Deep Learning Inversion with Application to Noisy Magnetotelluric Measurements

Despite demonstrating exceptional inversion production for synthetic data, the application of deep learning (DL) inversion methods to invert realistic magnetotelluric (MT) measurements, which are inevitably contaminated by noise in acquisition, poses a significant challenge. Hence, to facilitate DL...

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Bibliografski detalji

Glavni autori:	Wei Liu, He Wang, Zhenzhu Xi, Liang Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-12-01
Serija:	Remote Sensing
Teme:	deep learning magnetotelluric inversion Swin Transformer Savitzky–Golay filter
Online pristup:	https://www.mdpi.com/2072-4292/16/1/62
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