Incorporating structural constraint into the machine learning high-resolution seismic reconstruction
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DOI: 10.1109/tgrs.2022.3157064
Abstract: Seismic high-resolution (HR) reconstruction is a crucial process for identifying increasingly thin layers from observed seismic data. Nowadays, machine learning (ML) has been adopted in seismic resolution improvement; however, most of the ML-based methods directly… read more here.
Keywords: machine learning; seismic reconstruction; structural constraint; high resolution ... See more keywords