Feature visualizations in geoacoustic inversion using convolutional neural network-Reference-Cited by-同舟云学术

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Feature visualizations in geoacoustic inversion using convolutional neural network

Published:2022-03-27 Issue: Volume: Page:
ISSN:
Container-title:Eighth Symposium on Novel Photoelectronic Detection Technology and Applications
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Author:

Liu Mingda,Niu Haiqiang,Li Zhenglin

Publisher

SPIE

Reference18 articles.

1. Normal mode measurements and remote sensing of sea‐bottom sound velocity and attenuation in shallow water

2. Estimation of ocean-bottom properties by matched-field inversion of acoustic field data

3. Parameter estimation using multifrequency range‐dependent acoustic data in shallow water

4. Quantifying uncertainty in geoacoustic inversion. I. A fast Gibbs sampler approach

5. Geoacoustic inversion for sediments in the South China Sea based on a hybrid inversion scheme

Cited by 1 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. A Case Study of Geoacoustic Inversion Based on Convolutional Neural Network Using Vertical Array Data;2022 5th International Conference on Information Communication and Signal Processing (ICICSP);2022-11-26

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