Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey [PDF]
Remote SensingUnderwater acoustic target recognition has always played a pivotal role in ocean remote sensing. By analyzing and processing ship-radiated signals, it is possible to determine the type and nature of a target.
Sheng Feng +3 more
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Underwater Acoustic Target Recognition Based on Deep Residual Attention Convolutional Neural Network [PDF]
Journal of Marine Science and Engineering, 2023 Underwater acoustic target recognition methods based on time-frequency analysis have shortcomings, such as missing information on target characteristics and having a large computation volume, which leads to difficulties in improving the accuracy and ...
Fang Ji +4 more
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VFR: The Underwater Acoustic Target Recognition Using Cross-Domain Pre-Training with FBank Fusion Features [PDF]
Journal of Marine Science and Engineering, 2023 Underwater acoustic target recognition is a hot research area in acoustic signal processing. With the development of deep learning, feature extraction and neural network computation have become two major steps of recognition. Due to the complexity of the
Ji Wu +5 more
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Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition. [PDF]
Sensors (Basel), 2018 Underwater acoustic target recognition based on ship-radiated noise belongs to the small-sample-size recognition problems. A competitive deep-belief network is proposed to learn features with more discriminative information from labeled and unlabeled samples.
Yang H, Shen S, Yao X, Sheng M, Wang C.
europepmc +6 more sources
Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network [PDF]
Remote Sensing, 2019 A method with a combination of multi-dimensional fusion features and a modified deep neural network (MFF-MDNN) is proposed to recognize underwater acoustic targets in this paper.
Xingmei Wang +3 more
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Underwater Acoustic Target Recognition with a Residual Network and the Optimized Feature Extraction Method [PDF]
Applied Sciences, 2021 Underwater Acoustic Target Recognition (UATR) remains one of the most challenging tasks in underwater signal processing due to the lack of labeled data acquisition, the impact of the time-space varying intrinsic characteristics, and the interference from
Feng Hong +4 more
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Model for Underwater Acoustic Target Recognition with Attention Mechanism Based on Residual Concatenate [PDF]
Journal of Marine Science and Engineering, 2023 Underwater acoustic target recognition remains a formidable challenge in underwater acoustic signal processing. Current target recognition approaches within underwater acoustic frameworks predominantly rely on acoustic image target recognition models ...
Zhe Chen +3 more
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Underwater acoustic target recognition under working conditions mismatch [PDF]
Xibei Gongye Daxue XuebaoThe working conditions of the ship will have a great impact on the radiated noise of the ship. Even if the same ship is traveling in the same sea area, different working conditions will produce different radiated noise, thus affecting the accuracy of ...
WANG Haitao +3 more
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The Underwater Acoustic Target Recognition Algorithm Based on Evidence Clustering [PDF]
Xibei Gongye Daxue Xuebao, 2018 In underwater acoustic target recognition, the target signal is usually complex and the samples which are difficult to obtain also have some uncertain information.
Jianhua Yang, Yang Zhang, Hong Hou
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Guiding the underwater acoustic target recognition with interpretable contrastive learning [PDF]
OCEANS 2023 - Limerick, 2023 Recognizing underwater targets from acoustic signals is a challenging task owing to the intricate ocean environments and variable underwater channels. While deep learning-based systems have become the mainstream approach for underwater acoustic target recognition, they have faced criticism for their lack of interpretability and weak generalization ...
Yuan Xie, Jiawei Ren 0006, Ji Xu 0004
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