Toward the development of smart capabilities for understanding seafloor stretching morphology and biogeographic patterns via DenseNet from high-resolution multibeam bathymetric surveys for underwater vehicles

Toward the development of smart capabilities for understanding seafloor stretching morphology and biogeographic patterns via DenseNet from high-resolution multibeam bathymetric surveys for underwater vehicles

The increasing use of underwater vehicles facilitates deep-sea exploration at a wide range of depths and spatial scales. In this paper, we make an initial attempt to develop online computing strategies to identify seafloor categories and predict biogeographic patterns with a deep learning-based arch...

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Bibliographic Details
Main Authors: Rui Nian, Shasha Liu, Zongcan Lu, Xiaoyu Li, Shidong Ren, Yuqi Qian, Qiuying Li, Guotong He, Kexin Shi, Guoyao Zhang, Lina Zang, Luyao Li, Bo He, Tianhong Yan, Xishuang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Marine Science
Subjects:
multi-beam bathymetric mapping
seafloor stretching morphology
DenseNet
channel attention module
spatial pyramid pooling
biogeographic patterns
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2023.1205142/full

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