Underwater acoustic target recognition

Results 81 to 90 of about 20,770 (204)

Recognition of Underwater Acoustic Radar Signals Based on Multiresolution and Dense Convolutional Neural Network

Journal of Engineering and Sustainable Development
Recognizing underwater objects based on radiated noise information is one of the most crucial issues in underwater acoustics. Underwater acoustic target signals are altered by elements such as the undersea environment and the ship's operational ...
Taqwa Oday Fahad +4 more
doaj +1 more source

A Dual-Stream Deep Learning-Based Acoustic Denoising Model to Enhance Underwater Information Perception

Remote Sensing
Estimating the line spectra of ship-radiated noise is a crucial remote sensing technique for detecting and recognizing underwater acoustic targets. Improving the signal-to-noise ratio (SNR) makes the low-frequency components of the target signal more ...
Wei Gao, Yining Liu, Desheng Chen
doaj +1 more source

A Method for Underwater Acoustic Target Recognition Based on the Delay-Doppler Joint Feature

Remote Sensing
With the aim of solving the problem of identifying complex underwater acoustic targets using a single signal feature in the Time–Frequency (TF) feature, this paper designs a method that recognizes the underwater targets based on the Delay-Doppler joint ...
Libin Du +6 more
doaj +1 more source

Void-handling techniques for routing protocols in underwater sensor networks: survey and challenges [PDF]

, 2017
Boutaleb, Tuleen +2 more
core +1 more source

IARA: An Underwater Acoustic Database

IEEE Access
Recent advancements in artificial intelligence have been driven by the availability of diverse and well-structured public databases; however public databases for passive sonar classification remain scarce.
Fabio Oliveira Baptista Da Silva +5 more
doaj +1 more source

Introducing the Brand New QiandaoEar22 Dataset for Specific Ship Identification Using Ship-Radiated Noise

Target identification of ship-radiated noise is a crucial area in underwater target recognition. However, there is currently a lack of multi-target ship datasets that accurately represent real-world underwater acoustic conditions.
Du, Xiaoyang, Hong, Feng
core

A virtual auditory environment for investigating the auditory signal processing of realistic sounds [PDF]