首页|基于小波变换实现地磁秒采样观测移动车辆干扰的自动识别

基于小波变换实现地磁秒采样观测移动车辆干扰的自动识别

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为了提高对地磁秒采样数据中移动车辆干扰的处理、提取效率,基于小波变换设计了移动车辆干扰自动识别处理方法,并采用溧阳地震台、河池地震台受干扰数据进行分析.结果显示,采用该方法,选择db6、db9、sym8 小波识别提取移动车辆干扰,识别率大于 91%,正确率大于 83%.
Research on automatic recognition and processing method for mobile vehicles interference in geomagnetic second sampling observation based on the wavelet transformation
In order to improve the processing and extraction efficiency of mobile vehicle interference in geomagnetic second data,a set of automatic recognition and processing methods for mobile vehicle interference was designed based on wavelet transform.The interference data from Liyang and Hechi stations were analyzed and studied.The results show that selecting db6 wavelet,db9 wavelet,and sym8 wavelet to identify and extract moving vehicle interference can achieve a maximum recognition rate of over 91%and a maximum accuracy rate of over 83%.

geomagnetic second samplingwaveletmobile vehicle interference identification

潘颖、袁桂平、张秀霞、黄群

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中国南京 210014 江苏省地震局

中国常州 213300 江苏省溧阳地震台

地磁秒采样 小波变换 移动车辆干扰识别

中国地震局监测、预报、科研三结合课题江苏省地震局青年科学基金

3JH-202302030202107

2024

地震地磁观测与研究
中国地震台网中心 中国地震局地球物理研究所 中国地震学会地震观测技术专业委员会

地震地磁观测与研究

影响因子:0.248
ISSN:1003-3246
年,卷(期):2024.45(1)
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