| 模板匹配滤波技术在地震数据处理中的应用 |
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| 引用本文： | 李璐,王宝善,侯金欣.模板匹配滤波技术在地震数据处理中的应用[J].中国地震,2017,33(1):14-22. |
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| 作者姓名： | 李璐 王宝善 侯金欣 |
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| 作者单位： | 中国地震局地球物理研究所(地震观测与地球物理成像重点实验室), 北京市民族大学南路5号 100081,中国地震局地球物理研究所(地震观测与地球物理成像重点实验室), 北京市民族大学南路5号 100081,中国地震局地球物理研究所(地震观测与地球物理成像重点实验室), 北京市民族大学南路5号 100081 |
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| 基金项目： | 中国地震局地球物理研究所基本科研业务专项（DQJB16B18）、地震行业科研专项（201508008）、国家重点研发计划“政府间国际科技创新合作”重点专项（2016YFE0109300）、国家自然科学基金（41561164018）共同资助 |
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| 摘 要： | 模板匹配滤波技术(Matched Filter Technique,MFT)是一种近几年发展迅速的可用于检测遗漏信号的算法,在图像识别、行星探测等众多领域均有广泛应用。在地震学中,该技术通过扫描连续波形找出模板事件附近发生的、与模板事件相关性较好的遗漏地震事件,可用于完善地震目录,实现对地震活动性以及区域应力状态的更好刻画。本文综述了模板匹配滤波技术在地震数据处理中的应用,首先概述基本原理,其次介绍该方法用于探测各类地震事件的实例,包括前震和余震、远程动态触发地震、诱发地震和非火山震颤等,最后展望了用于提高算法效率及探测精度的一些改进方法。
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| 关 键 词： | 模板匹配滤波 互相关 微地震 |
| 收稿时间： | 2016/6/17 0:00:00 |
| 修稿时间： | 2016/6/19 0:00:00 |
Applications of matched filter technique in seismic data processing |
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| Li Lu,Wang Baoshan and Hou Jinxin.Applications of matched filter technique in seismic data processing[J].Earthquake Research in China,2017,33(1):14-22. |
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| Authors: | Li Lu Wang Baoshan and Hou Jinxin |
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| Institution: | Key Laboratory of Seismic Observation and Geophysical Imaging, Institute of Geophysics, CEA, Beijing 100081, China,Key Laboratory of Seismic Observation and Geophysical Imaging, Institute of Geophysics, CEA, Beijing 100081, China and Key Laboratory of Seismic Observation and Geophysical Imaging, Institute of Geophysics, CEA, Beijing 100081, China |
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| Abstract: | Matched filter technique(MFT) is a rapidly developing algorithm for micro-signals detection,which could detect small,uncatalogued events based on their similarity to the template events. MFT is widely applied in many fields(e.g. image identification,space exploration), For earthquakes detection,it helps to obtain a more complete catalog,contributing to a better evaluation of the regional stress state and background seismicity. In this paper we briefly illustrate the fundamental of MFT with a flow chart,expound the applications of this technique in detection of foreshocks and aftershocks,remotely triggered earthquakes,induced seismicity,and non-volcanic tremors. We also introduce some advanced algorithms to accelerate MFT and improve the accuracy of detection. |
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| Keywords: | Matched filter technique Cross-correlation Micro-earthquakes |
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