Surface-wave dispersion curves extraction method from ambient noise based on U-net++ and density clustering algorithm-Reference-Cited by-同舟云学术

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Surface-wave dispersion curves extraction method from ambient noise based on U-net++ and density clustering algorithm

Published:2023-06 Issue: Volume:213 Page:105040
ISSN:0926-9851
Container-title:Journal of Applied Geophysics
language:en
Short-container-title:Journal of Applied Geophysics

Author:

Hu Wei,Zhang Hao,Sang Wenjing,Anna Sowiżdżał,Yuan Shichuan,Yuan Sanyi

Funder

National Key Research and Development Program of China

China University of Petroleum, Beijing

China National Petroleum Corporation

University of Science and Technology of China

Publisher

Elsevier BV

Subject

Geophysics

Reference57 articles.

1. Near-surface velocity analysis for single-sensor data: An integrated workflow using surface waves, AI, and structure-regularized inversion;Alyousuf,2018

2. SegNet: a deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan,2017

3. High-resolution 3-D crustal shear-wave velocity model reveals structural and seismicity segmentation of the central-southern Tanlu Fault zone, eastern China;Bem;Tectonophysics,2020

4. Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements;Bensen;Geophys. J. Int.,2007

5. Deep learning inversion of Rayleigh-wave dispersion curves with geological constraints for near-surface investigations;Chen;Geophys. J. Int.,2022

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