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Automatic P Phase Picking Using Maximum Kurtosis and $kappa$ -Statistics Criteria
The identification problem of P seismic phase onset has been addressed, based on the maximum-kurtosis assumption, Kappa -statistics, and the Chebyshev inequality. Depending on two statistical decision criteria, the proposed approach provides either a single P onset peak or an interval in which the P...
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Published in: | IEEE geoscience and remote sensing letters 2004-07, Vol.1 (3), p.147-151 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The identification problem of P seismic phase onset has been addressed, based on the maximum-kurtosis assumption, Kappa -statistics, and the Chebyshev inequality. Depending on two statistical decision criteria, the proposed approach provides either a single P onset peak or an interval in which the P onset exists, both with a confidence percentage. Results on real seismic data evaluated using a performance index justify the contribution of the proposed method toward an accurate and fully automated P onset identification. |
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ISSN: | 1545-598X |
DOI: | 10.1109/LGRS.2004.828915 |