PSSegNet: Segmenting the P- and S-Phases in Microseismic Signals through Deep Learning

PSSegNet: Segmenting the P- and S-Phases in Microseismic Signals through Deep Learning

Microseismic P- and S-phase segmentation is an influential step that limits the accuracy of event location, parameter inversion, and mechanism analysis. Therefore, an improved Unet named PSSegNet is proposed to intelligently segment the P- and S-phases. The designed masks are used as the outputs of...

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Bibliographic Details
Main Authors: Zhengxiang He, Xingliang Xu, Dijun Rao, Pingan Peng, Jiaheng Wang, Suchuan Tian
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Mathematics
Subjects:
microseismic
deep learning
segmentation
P- and S-phase
signal processing
Online Access:https://www.mdpi.com/2227-7390/12/1/130

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