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Automatic P-phase picking based on local-maxima distribution
- Source :
- IEEE Transactions on Geoscience and Remote Sensing. August, 2008, Vol. 46 Issue 8, p2280, 8 p.
- Publication Year :
- 2008
-
Abstract
- In this paper, we propose a method for the automatic identification of P-phase arrival based on the distribution of local maxima (LM) in earthquake seismograms. The method efficiently combines energy and frequency characteristics of the LM distribution (LMD). The P detection is mainly based on the energy of a seismic event in the case the earthquake has higher amplitude than seismic background noise. Otherwise, it is based on the frequency of LM. Thus, the method provides robust detection of P-phase arrival in any quality type of seismic data. Moreover, it uses two sequential sliding signal windows yielding very high accuracy on the P-phase estimation. A hierarchical P-phase detection algorithm dramatically reduces the computational cost, making possible a real-time implementation. Experimental results from a large database of more than 80 low, medium, and high signal-to-noise ratio seismic events and comparison with existing methods in the literature indicate the reliable performance of the proposed scheme. Index Terms--Automatic picking, P-phase arrival identification, seismic-signal analysis, signal segmentation.
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 46
- Issue :
- 8
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.182614009