| Weak Seismic Signal Extraction Based on the Curvelet Transform |
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| 作者姓名： | TAN Junqing YANG Runhai WANG Bin XIANG Ya |
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| 作者单位： | Yunnan University, Kunming 650091, China,Yunnan Earthquake Agency, Kunming 650224, China,Yunnan Earthquake Agency, Kunming 650224, China,Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, China |
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| 基金项目： | This project is sponsored by the National Natural Science Foundation of China (41574059, 41474048) and sponsored by the State Key Laboratory of Earthquake Dynamics,CEA (LED2016B06). |
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| 摘 要： | Seismic signal denoising is a key step in seismic data processing. Airgun signals are easy to be interfered with by noise when it travels a long distance due to the weak energy of active source signal of the airgun. Aiming to solve this problem, and considering that the conventional Curvelet transform threshold processing method does not use the seismic spectrum information, we independently process the Curvelet scale layer corresponding to valid data based on the characteristics of the Curvelet transform of multi-scale, multi-direction and capable of expressing the sparse seismic signals in order to fully excavate the information features. Combined with the Curvelet adaptive threshold denoising the algorithm, we apply the Curvelet transform to denoising seismic signals while retaining the weak information in the signal as much as possible. The simulation experiments show that the improved threshold denoising method based on Curvelet transform is superior to the frequency domain filtering, wavelet denoising and traditional Curvelet denoising method in detailed information extraction and signal denoising of low SNR signals. The calculation accuracy of the relative wave velocity variation of underground medium is improved.
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| 关 键 词： | Seismic signal denoising Airgun active source signal Curvelet transform The velocity of the underground medium |
| 收稿时间： | 2018/12/7 0:00:00 |
| 修稿时间： | 2019/3/10 0:00:00 |
Weak Seismic Signal Extraction Based on the Curvelet Transform |
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| TAN Junqing,YANG Runhai,WANG Bin,XIANG Ya.Weak Seismic Signal Extraction Based on the Curvelet Transform[J].Earthquake Research in China,2019,33(2):220-234. |
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| Authors: | TAN Junqing YANG Runhai WANG Bin and XIANG Ya |
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| Institution: | Yunnan University, Kunming 650091, China,Yunnan Earthquake Agency, Kunming 650224, China,Yunnan Earthquake Agency, Kunming 650224, China and Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, China |
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| Abstract: | Seismic signal denoising is a key step in seismic data processing. Airgun signals are easy to be interfered with by noise when it travels a long distance due to the weak energy of active source signal of the airgun. Aiming to solve this problem, and considering that the conventional Curvelet transform threshold processing method does not use the seismic spectrum information, we independently process the Curvelet scale layer corresponding to valid data based on the characteristics of the Curvelet transform of multi-scale, multi-direction and capable of expressing the sparse seismic signals in order to fully excavate the information features. Combined with the Curvelet adaptive threshold denoising the algorithm, we apply the Curvelet transform to denoising seismic signals while retaining the weak information in the signal as much as possible. The simulation experiments show that the improved threshold denoising method based on Curvelet transform is superior to the frequency domain filtering, wavelet denoising and traditional Curvelet denoising method in detailed information extraction and signal denoising of low SNR signals. The calculation accuracy of the relative wave velocity variation of underground medium is improved. |
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| Keywords: | Seismic signal denoising Airgun active source signal Curvelet transform The velocity of the underground medium |
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