1995
DOI: 10.1029/95gl00468
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An automatic seismic event processing for detection and location: The P.M.C.C. Method

Abstract: We present a new method for automatic detection and location of seismic events recorded on a network. It is based on a progressive study of the interstation correlation functions, which leads to a consistent set of time‐delays when a seismic phase is present. Three different examples are processed on networks of different sizes.

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Cited by 353 publications
(243 citation statements)
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“…Gradual evolution of observed waveforms implies a change either in the Greens function describing all propagation from source to receiver, or in the source time function. For seismic data, a change in waveform correlation over time typically implies a change in the source [Cansi, 1995] detection of infrasound from LPs was observed to switch on and off while the seismic LP events were continuously observed (see Figure S3). We also analyzed data from 1 to 19 March 2005 using the same method and obtained similar results.…”
Section: Waveform Cross Correlationmentioning
confidence: 99%
“…Gradual evolution of observed waveforms implies a change either in the Greens function describing all propagation from source to receiver, or in the source time function. For seismic data, a change in waveform correlation over time typically implies a change in the source [Cansi, 1995] detection of infrasound from LPs was observed to switch on and off while the seismic LP events were continuously observed (see Figure S3). We also analyzed data from 1 to 19 March 2005 using the same method and obtained similar results.…”
Section: Waveform Cross Correlationmentioning
confidence: 99%
“…The wave parameters of the hydroacoustic waves are calculated with the Progressive Multi-Channel Correlation method (PMCC). This method, originally designed for seismic arrays, proved to be very efficient for hydroacoustic data [Cansi, 1995;Graeber and Piserchia, 2004]. Thirty minutes after the main shock, PMCC algorithm begins to detect hydroacoustic waves propagating from the hypocenter (Figure 2).…”
Section: Hydroacoustic Array Of H08smentioning
confidence: 99%
“…The array processing of the ETN data consists of a delay and sum analysis-based algorithm to detect eruptions, determine the peak-to-peak pressure, and to identify the active Etna crater [Ulivieri et al, 2013]. Processing of the I22FR and I48TN data is performed using the Progressive Multichannel Correlation (PMCC) algorithm [Cansi, 1995].…”
Section: Infrasound Measurements and Data Processing Techniquesmentioning
confidence: 99%