Deep Learning for Seismic Data Enhancement and Representation

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns various factors such as acquisition design, environmental constraints, sampling resolution, and n...

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Bibliografski detalji

Glavni autori:	Wang, Shirui (Autor), Hu, Wenyi (Autor), Wu, Xuqing (Autor), Chen, Jiefu (Autor)
Autor kompanije:	SpringerLink (Online service)
Format:	Elektronički e-knjiga
Jezik:	engleski
Izdano:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Izdanje:	1st ed. 2024.
Serija:	Advances in Oil and Gas Exploration & Production,
Teme:	Geophysics. Data mining. Electrical engineering. Image processing > Digital techniques. Computer vision. Artificial intelligence > Data processing. Data Mining and Knowledge Discovery. Electrical and Electronic Engineering. Computer Imaging, Vision, Pattern Recognition and Graphics. Data Science.
Online pristup:	https://doi.org/10.1007/978-3-031-75745-7
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