Reconstruction of Sparsely Sampled Seismic Data via Residual U-Net
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DOI: 10.1109/lgrs.2020.3035835
Abstract: Reconstruction of sparsely sampled seismic data is critical for maintaining the quality of seismic images when significant numbers of shots and receivers are missing. We present a reconstruction method in the shot-receiver-time (SRT) domain based… read more here.
Keywords: residual net; seismic data; reconstruction sparsely; sparsely sampled ... See more keywords