[1]TAN Junqing,YANG Runhai,XIANG Ya,et al.Combining MFT and Curvelet Transform Method to Extract Weak Signal in Active Source of Air Gun[J].Journal of Seismological Research,2020,43(04):701-710.
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Combining MFT and Curvelet Transform Method to Extract Weak Signal in Active Source of Air Gun
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
43
Number of periods:
2020 04
Page number:
701-710
Column:
Public date:
2020-09-17
- Title:
- Combining MFT and Curvelet Transform Method to Extract Weak Signal in Active Source of Air Gun
- Keywords:
- weak air gun signal of active source; Matched Filtering Technology; Curvelet Transform denoising; velocity changes
- CLC:
- P315.61
- DOI:
- -
- Abstract:
- In this paper,we introduced a data processing method interspersed with two method that based on one-dimensional template Matching Filtering Technology(MFT)and two-dimensional Curvelet Transform method.Firstly,the correlation coefficients are obtained by the one-dimensional MFT,then the correlation coefficients are composed into two-dimensional data and processed by Curvelet Transform method.Finally,the corresponding correlation coefficients are respectively folded with the template signal to obtain the recovery signal.Then,we applied this method to the processing of simulation signal and air gun signal of Binchuan active source.Experiments show that this method is more better than that processing by one single method,with better recovery ability in Binchuan Air Gun Experimental Base,which can get better recovery signal in simulation and actual recorded data signal processing,and get the wave velocity variation with less noise interference in underground media.It is beneficial to the analysis and research of the following seismologists and improve the utilization and analyzability of low SNR data.
- References:
- -
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Last Update:
2020-09-17