A Hybrid Dropout Method for High-Precision Seafloor Topography Reconstruction and Uncertainty Quantification

Seafloor topography super-resolution reconstruction is critical for marine resource exploration, geological monitoring, and navigation safety. However, sparse acoustic data frequently result in the loss of high-frequency details, and traditional deep learning models exhibit limitations in uncertaint...

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Detalhes bibliográficos

Principais autores:	Xinye Cui, Houpu Li, Yanting Yu, Shaofeng Bian, Guojun Zhai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-05-01
coleção:	Applied Sciences
Assuntos:	super-resolution reconstruction uncertainty quantification seafloor topography deep learning heteroscedastic noise modeling
Acesso em linha:	https://www.mdpi.com/2076-3417/15/11/6113
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