141 citations · 143 across the 3 of their papers we have counts for
3 papers
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquake
Lijun Zhu, Zhigang Peng, James McClellan +4
The increasing volume of seismic data from long-term continuous monitoring motivates the development of algorithms based on convolutional neural network (CNN) for faster and more r…
A multi-channel approach for automatic microseismic event association using RANSAC-based arrival time event clustering(RATEC)
Lijun Zhu, Lindsay Chuang, James H. McClellan +2
In the presence of background noise, arrival times picked from a surface microseismic data set usually include a number of false picks that can lead to uncertainty in location esti…
Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering
Entao Liu, Lijun Zhu, Anupama Govinda Raj +4
Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from a surface sensor array where e…