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Seismic event detection using three-component data

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3 Author(s)
Magotra, N. ; Dept. of EECE, New Mexico Univ., Albuquerque, NM, USA ; Nalley, D. ; Brozek, J.

Presents an approach for the detection of seismic events using three-component data obtained from three orthogonally placed seismometers. In the first stage of processing, a detection parameter is computed as a function of the autocorrelation coefficients of the three data channels. This parameter is then input to a detector which uses the concept of comparing a short time average of the parameter against a delayed, long-term average of the parameter to produce a detector output. This algorithm is capable of detecting extremely weak signals of signal-to-noise ratios (SNRs) as low as -6 dB while keeping false alarms down to a minimum. Results obtained by using the algorithm on synthesized data as well as on field-acquired data are presented

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:30 ,  Issue: 3 )