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- W3201407730 abstract "Ground roll noise is a common type of seismic noise arising from land acquisition. Suppressing ground roll noise has long been a challenging problem due to the strong coupling between ground rolls and reflection signals. The easiest way to suppress ground roll noise is by a bandpass filter, which removes the low-frequency ground roll and retains the high-frequency signals. Due to the coupling issue, the bandpass filter, however, is prone to cause the removal of low-frequency signals and the existence of high-frequency noise. To combat this problem, we propose a novel dictionary learning (DL) method for decoupling the ground rolls and reflection signals in the low-frequency band. We first filter the seismic shot gather using a strong low-pass filter, by which we remove all ground rolls. Then, we apply the DL method to retrieve the leaked low-frequency reflection signals. The dictionary atoms are obtained from the high-frequency reflection signals and then used to code the low-frequency mixture between ground rolls and signals. As a result, the reflection signals in the low-frequency part are easily separated by the sparse coding process and are added back to the high-frequency signals. The final output of the proposed algorithm is the summation between the high-frequency reflections and the retrieved low-frequency reflections. We apply the proposed method to both synthetic and real shot gathers containing ground roll noise and demonstrate its promising results." @default.
- W3201407730 created "2021-09-27" @default.
- W3201407730 creator A5035636323 @default.
- W3201407730 date "2022-01-01" @default.
- W3201407730 modified "2023-09-27" @default.
- W3201407730 title "Robust Ground Roll Noise Suppression Based on Dictionary Learning and Bandpass Filtering" @default.
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- W3201407730 doi "https://doi.org/10.1109/lgrs.2021.3107722" @default.
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