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

It is crucial to accurately and rapidly extract dispersion curves of surface waves from ambient noise recordings for inverting the subsurface shear (S) wave velocity structures. Conventional manual picking methods are labor-intensive and affected by subjective factors related to seismologists. The e...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of applied geophysics Jg. 213; S. 105040
Hauptverfasser:	Hu, Wei, Zhang, Hao, Sang, Wenjing, Anna, Sowiżdżał, Yuan, Shichuan, Yuan, Sanyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2023
Schlagworte:	Ambient noise tomography Clustering algorithm Convolutional neural network Dispersion curve extraction Surface waves Ambient noise tomography Surface waves Dispersion curve extraction Clustering algorithm Convolutional neural network
ISSN:	0926-9851, 1879-1859
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!