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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Automatic S-Phase Picking for Volcano-Tectonic Earthquakes Using Spectral Dissimilarity Analysis
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Automatic S-Phase Picking for Volcano-Tectonic Earthquakes Using Spectral Dissimilarity Analysis

机译：火山构造地震使用光谱异化分析自动S相拣选

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摘要

We present an S-phase picking algorithm for volcano-tectonic earthquakes (VTs), based on the changes of frequency and amplitude expected in the plane transverse to the ray direction at S-phase arrival. A measure of these changes, called spectral dissimilarity, is proposed. Picking is performed in a particular waveform transformation that underlines such variations foreseen: horizontal instant power. Then, the algorithm provides a measure of its reliability, grounded on the low or high fluctuations of the picking instant obtained when applied to other horizontal components of the seismogram. Experiments are performed to test the algorithm with a challenging database of volcano seismic earthquakes from Mt. Etna, carefully picked and labeled by a human expert. The technique is compared to two well-known S-phase pickers: one based on the damped predominant period analysis and the other based on polarization and kurtosis rate analysis. The algorithm improves these techniques for the particular scenario of VTs, providing interesting results and possibilities of the application.
机译：我们为火山构造地震（VTS）提供了一种S相拣选算法，基于在S相到达的平面中预期的频率和幅度的变化。提出了一种称为光谱异化的这些变化的措施。采摘在特定的波形变换中进行，该变换强调这些变型：水平即时功率。然后，该算法提供其可靠性的测量，接地地接地，当施加到地震图的其他水平分量时获得的拣选即时的低压或高波动。进行实验以测试来自Mt的火山地震地震的具有挑战性数据库。 Etna，由人类专家仔细挑选和标记。将该技术与两个众所周知的S相拾取器进行比较：基于阻尼主要时间分析和基于偏振和峰菌速率分析。该算法改善了VTS特定场景的这些技术，提供了应用的有趣结果和可能性。

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