Bathymetric Prediction Using Multisource Gravity Data Derived From a Parallel Linked BP Neural Network-Reference-Cited by-同舟云学术

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Bathymetric Prediction Using Multisource Gravity Data Derived From a Parallel Linked BP Neural Network

Published:2022-11 Issue:11 Volume:127 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:JGR Solid Earth

Author:

Sun Heyuan¹^ORCID,Feng Yikai¹^ORCID,Fu Yanguang¹,Sun Weikang¹²,Peng Cong³,Zhou Xinghua¹²,Zhou Dongxu¹

Affiliation:

1. The First Institute of Oceanography Ministry of Natural Resources Qingdao China

2. College of Geodesy and Geomatics Shandong University of Science and Technology Qingdao China

3. South China Sea Marine Survey and Technology Center State Oceanic Administration Guangzhou China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022JB024428

Reference37 articles.

1. Mapping seafloor topography of gulf of Guinea using an adaptive meshed gravity-geologic method

2. Gravity-field improvement in the Mediterranean Sea by estimating the bottom topography using collocation

3. Comparing gravity and gravity gradient surveys

4. Global Bathymetry and Elevation Data at 30 Arc Seconds Resolution: SRTM30_PLUS

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Refined Bathymetric Prediction Based on Feature Extraction of Gravity Field Signals: BATHY‐FE;Journal of Geophysical Research: Machine Learning and Computation;2024-08-27

2. Predicting bathymetry using multisource differential marine geodetic data with multilayer perceptron neural network;International Journal of Digital Earth;2024-08-20

3. Recovering 3D salt dome by gravity data inversion using ResU-Net++;GEOPHYSICS;2024-08-05

4. Seafloor topography refinement from multisource data using genetic algorithm—backpropagation neural network;Geophysical Journal International;2024-06-28

5. Improved Bathymetry in the South China Sea from Multisource Gravity Field Elements Using Fully Connected Neural Network;Journal of Marine Science and Engineering;2023-06-30

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