Detection and classification of seismic events with progressive multi-channel correlation and hidden Markov models
We propose a method to automatically detect and classify seismic events. We associate array processing and time series statistical modelling. Wave propagation features from array processing are used for model training. Our method is applied to discriminate regional and teleseismic events in Mongolia.
progressive multi-channel correlation hidden markov model pattern recognition regional seismicity