Polarization Filter by Eigenimages and Adaptive Subtraction to Attenuate Surface-Wave Noise
نویسندگان
چکیده
Multi-component recording contains full wavefield information that can be used in polarization filtering to attenuate surface-wave noise. The polarization filter used here is a station-by-station approach that combines statics, signal-to-noise ratio, and eigenimages to construct a surfacewave noise model and then applies an adaptive subtraction to remove the noise. Statics and signal-to-noise ratio are two of the key components needed to construct a reliable noise model. Applications of this filter on synthetic and real data examples illustrate the effectiveness of this method.
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