SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism

SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism

Abstract Increased availability and quality of surface and subsurface observations provide the chance to improve the perception of hydrological phenomena. An important factor that hinders our understanding of hydrological structures is the characterization of heterogeneous patterns with continuous a...

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Bibliographic Details
Main Authors: Zhesi Cui, Qiyu Chen, Gang Liu, Lei Xun
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Water Resources Research
Subjects:
hydrogeological modeling
deep learning
generative adversarial networks
conditional simulation
Online Access:https://doi.org/10.1029/2023WR035932
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https://doi.org/10.1029/2023WR035932

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