Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network

In oceanic remote sensing operations, underwater acoustic target recognition is always a difficult and extremely important task of sonar systems, especially in the condition of complex sound wave propagation characteristics. The expensively learning recognition model for big data analysis is typical...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Hauptverfasser:	Doan, Van-Sang, Huynh-The, Thien, Kim, Dong-Seong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Audio data Big Data Classification Computer applications Computer architecture Convolution Convolutional neural network (CNN) Data analysis Data models Feature extraction Feature maps Learning algorithms Machine learning Modelling Network architecture Neural networks Noise levels Passive sonar Remote sensing Signal to noise ratio Sonar sonar system Sound propagation Sound waves Target recognition Underwater Underwater acoustics underwater target recognition Wave propagation
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