A review on deep learning-based approaches for automatic sonar target recognition
Underwater acoustics has been implemented mostly in the field of sound navigation and
ranging (SONAR) procedures for submarine communication, the examination of maritime …
ranging (SONAR) procedures for submarine communication, the examination of maritime …
Underwater targets classification using local wavelet acoustic pattern and Multi-Layer Perceptron neural network optimized by modified Whale Optimization Algorithm
W Qiao, M Khishe, S Ravakhah - Ocean Engineering, 2021 - Elsevier
Considering heterogeneities and difficulties in the classification of underwater passive
targets, this paper proposes the use of Local Wavelet Acoustic Pattern (LWAP) and Multi …
targets, this paper proposes the use of Local Wavelet Acoustic Pattern (LWAP) and Multi …
Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review
Y Chai, H Yu, L Xu, D Li, Y Chen - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
With the rapid development of underwater sensor techniques, using acoustic techniques to
obtain and analyze underwater images is an effective approach due to the superior nature of …
obtain and analyze underwater images is an effective approach due to the superior nature of …
[HTML][HTML] Automatic recognition of sonar targets using feature selection in micro-Doppler signature
Currently, the use of intelligent systems for the automatic recognition of targets in the fields of
defence and military has increased significantly. The primary advantage of these systems is …
defence and military has increased significantly. The primary advantage of these systems is …
Classification of surface vehicle propeller cavitation noise using spectrogram processing in combination with convolution neural network
NH Bach, LH Vu, VD Nguyen - Sensors, 2021 - mdpi.com
This paper proposes a method to enhance the quality of detecting and classifying surface
vehicle propeller cavitation noise (VPCN) in shallow water by using the improved Detection …
vehicle propeller cavitation noise (VPCN) in shallow water by using the improved Detection …
Underwater Object Detection based on YOLO-v3 network
Y Wang, J Liu, S Yu, K Wang, Z Han… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Recently, side scan sonar (SSS) is increasingly applied to underwater search, which can
display the microgeomorphic morphology and distribution, and obtain a continuous two …
display the microgeomorphic morphology and distribution, and obtain a continuous two …
Underwater broadband source detection using an acoustic vector sensor with an adaptive passive matched filter
L Ma, TA Gulliver, A Zhao, C Ge, X Bi - Applied acoustics, 2019 - Elsevier
This paper considers passive broadband underwater source detection which is more
practical but also more challenging than narrowband detection. Typically, broadband source …
practical but also more challenging than narrowband detection. Typically, broadband source …
Passive detection of ship-radiated acoustic signal using coherent integration of cross-power spectrum with doppler and time delay compensations
W Guo, S Piao, J Guo, Y Lei, K Iqbal - Sensors, 2020 - mdpi.com
Passive sonar is widely used for target detection, identification and classification based on
the target radiated acoustic signal. Under the influence of Doppler, generated by relative …
the target radiated acoustic signal. Under the influence of Doppler, generated by relative …
Digital signal processing for hydroacoustic system in biomimetic underwater vehicle
P Piskur, M Gasiorowski - NAŠE MORE: znanstveni časopis za more i …, 2020 - hrcak.srce.hr
Sažetak Signal processing in hydroacoustic system will be presented in this paper. The
research results, depicted in this article, were achieved during realization one of the stages …
research results, depicted in this article, were achieved during realization one of the stages …
Multi-level feature enhancement network for object detection in sonar images
The unstable geometric features affect the accuracy of object detection in sonar images. We
thus propose a novel multi-level feature enhancement network to enhance useful features …
thus propose a novel multi-level feature enhancement network to enhance useful features …