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Deep Learning-Driven Vector Acoustic Field Inversion
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Deep Learning-Driven Vector Acoustic Field Inversion

No customer reviews yet ISBN 9786209141508
Published
Oct 2025
Language
English
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About this book

This monograph presents a deep learning framework for seabed characterization by fusing vector acoustic field physics with neural networks. It introduces Stokes parameters from vector hydrophones as robust features for geoacoustic inversion, and develops specialized networks (BP, MTL-TCN, U-Net + ATT-BP) to estimate sediment parameters and extract dispersion curves. Validated in the Yellow Sea, the method achieves core-comparable accuracy in minutes, significantly outperforming traditional techniques in speed and robustness. The work highlights the synergy between physical principles and data-driven learning, offering a scalable solution for real-time seabed mapping and advancing autonomous ocean sensing.

Specifications

PublishedOct 22, 2025
ISBN-106209141501
ISBN-139786209141508
LanguageEnglish

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