Deep Learning Convolutional Neural Network Applying for the Arctic Acoustic Tomography Current Inversion Accuracy Improvement

Deep Learning Convolutional Neural Network Applying for the Arctic Acoustic Tomography Current Inversion Accuracy Improvement

Warm current has a strong impact on the melting of sea ice, so clarifying the current features plays a very important role in the Arctic sea ice coverage forecasting study field. Currently, Arctic acoustic tomography is the only feasible method for the large-range current measurement under the Arcti...

Full description

Bibliographic Details
Main Authors: Kangkang Jin, Jian Xu, Zichen Wang, Can Lu, Long Fan, Zhongzheng Li, Jiaxin Zhou
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Marine Science and Engineering
Subjects:
ocean acoustic tomography
velocity field
RLS
convolutional neural network
acoustic inverse problem
Online Access:https://www.mdpi.com/2077-1312/9/7/755

Internet

https://www.mdpi.com/2077-1312/9/7/755

Similar Items