Product
Help
Pricing
About
Jobs
Log in
Get started
Keyword
Add to collection
PhaseNet
Description:
A deep learning model for detecting earthquakes and picking seismic phases, used in automated analysis of seismograms.
Primary topic:
Seismology and Earthquake Studies (76%)
Related topics:
Seismology and Earthquake Studies (76%),
earthquake and tectonic studies (8%)
OpenAlex ID:
keywords/phasenet
PhaseNet: A Deep Convolutional Neural Network for Two-Dimensional Phase Unwrapping
2018
·
G. E. Spoorthi
, Subrahmanyam Gorthi
, et al.
·
IEEE Signal Processing Letters
·
294
Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers
2022
·
Jannes Münchmeyer
, Jack Woollam
, et al.
·
Journal of Geophysical Research Solid Earth
·
210
PDF
PhaseNet for Video Frame Interpolation
2018
·
Simone Meyer
, Abdelaziz Djelouah
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
186
PDF
LOC-FLOW: An End-to-End Machine Learning-Based High-Precision Earthquake Location Workflow
2022
·
Miao Zhang
, Min Liu
, et al.
·
Seismological Research Letters
·
177
Rapid Characterization of the July 2019 Ridgecrest, California, Earthquake Sequence From Raw Seismic Data Using Machine‐Learning Phase Picker
2020
·
Min Liu
, Miao Zhang
, et al.
·
Geophysical Research Letters
·
147
Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning
2023
·
Weiqiang Zhu
, Ettore Biondi
, et al.
·
Nature Communications
·
129
PDF
QuakeFlow: a scalable machine-learning-based earthquake monitoring workflow with cloud computing
2022
·
Weiqiang Zhu
, Alvin Brian Hou
, et al.
·
Geophysical Journal International
·
95
PDF
Injection‐Induced Earthquakes on Complex Fault Zones of the Raton Basin Illuminated by Machine‐Learning Phase Picker and Dense Nodal Array
2020
·
Ruijia Wang
, Brandon Schmandt
, et al.
·
Geophysical Research Letters
·
92
Machine‐Learning‐Based Analysis of the Guy‐Greenbrier, Arkansas Earthquakes: A Tale of Two Sequences
2020
·
Yongsoo Park
, S. Mostafa Mousavi
, et al.
·
Geophysical Research Letters
·
74
PDF
Earthquake Phase Association with Graph Neural Networks
2023
·
Ian W. McBrearty
, Gregory C. Beroza
·
Bulletin of the Seismological Society of America
·
73
PDF
Comparison of the earthquake detection abilities of PhaseNet and EQTransformer with the Yangbi and Maduo earthquakes
2021
·
Ce Jiang
, Lihua Fang
, et al.
·
地震学报：英文版
·
49
PDF
USTC-Pickers: a Unified Set of seismic phase pickers Transfer learned for China
2023
·
Jun Zhu
, Zefeng Li
, et al.
·
地震学报：英文版
·
47
PickBlue: Seismic Phase Picking for Ocean Bottom Seismometers With Deep Learning
2023
·
T. Bornstein
, D. Lange
, et al.
·
Earth and Space Science
·
43
PDF
Automatic detection for a comprehensive view of Mayotte seismicity
2022
·
Lise Retailleau
, Jean-Marie Saurel
, et al.
·
Comptes Rendus Géoscience
·
41
PDF
Phase unwrapping based on a residual en-decoder network for phase images in Fourier domain Doppler optical coherence tomography
2020
·
Chuanchao Wu
, Zhengyu Qiao
, et al.
·
Biomedical Optics Express
·
41
A Wrapper to Use a Machine-Learning-Based Algorithm for Earthquake Monitoring
2022
·
Lise Retailleau
, Jean-Marie Saurel
, et al.
·
Seismological Research Letters
·
31
PDF
Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China
2021
·
PengCheng Zhou
, William L. Ellsworth
, et al.
·
Earth and Planetary Physics
·
29
PDF
Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic Network
2023
·
Ziye Yu
, Weitao Wang
, et al.
·
地震学报：英文版
·
28
Performance of Deep Learning Pickers in Routine Network Processing Applications
2022
·
José Enrique García
, Luis M. Fernández-Prieto
, et al.
·
Seismological Research Letters
·
27
Quantitative Phase Imaging Using Deep Learning-Based Holographic Microscope
2021
·
Jianglei Di
, Ji Wu
, et al.
·
Frontiers in Physics
·
27
PDF
InSAR Phase Unwrapping by Deep Learning Based on Gradient Information Fusion
2021
·
Liutong Li
, Hong Zhang
, et al.
·
IEEE Geoscience and Remote Sensing Letters
·
25
PDF
Machine-learning-based earthquake locations reveal the seismogenesis of the 2020 Mw 5.0 Qiaojia, Yunnan earthquake
2021
·
Lianqing Zhou
, Cuiping Zhao
, et al.
·
Geophysical Journal International
·
24
基于深度学习构建2021年5月21日云南漾濞 M S 6.4地震序列高分辨率地震目录
2021
·
苏金波
, SU JinBo
, et al.
·
16
Revisiting the Timpson Induced Earthquake Sequence: A System of Two Parallel Faults
2020
·
Kaiwen Wang
, William L. Ellsworth
, et al.
·
Geophysical Research Letters
·
16
Automatic Earthquake Catalogs From a Permanent DAS Offshore Network
2025
·
Marie Baillet
, Diane Rivet
, et al.
·
Journal of Geophysical Research Solid Earth
·
13
PDF
Show more works
View as search
Works count:
265
Citation count:
2,238
Year
Topic
Type
