A Fine-Grained Ship-Radiated Noise Recognition System Using Deep Hybrid Neural Networks with Multi-Scale Features

A Fine-Grained Ship-Radiated Noise Recognition System Using Deep Hybrid Neural Networks with Multi-Scale Features

Fine-grained ship-radiated noise recognition methods of different specific ships are in demand for maritime traffic safety and general security. Due to the high background noise and complex transmission channels in the marine environment, the accurate identification of ship radiation noise becomes q...

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Bibliographic Details
Main Authors: Shuai Liu, Xiaomei Fu, Hong Xu, Jiali Zhang, Anmin Zhang, Qingji Zhou, Hao Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
ship-radiated noise recognition
underwater acoustics
muti-scale features
artificial intelligence
feature extraction
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/8/2068

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