Results 11 to 20 of about 4,866,384 (247)
A Novel Underwater Acoustic Target Recognition Method Based on MFCC and RACNN [PDF]
SensorsIn ocean remote sensing missions, recognizing an underwater acoustic target is a crucial technology for conducting marine biological surveys, ocean explorations, and other scientific activities that take place in water.
Dali Liu +3 more
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Underwater Acoustic Target Recognition Based on Supervised Feature-Separation Algorithm [PDF]
Sensors, 2018 For the purpose of improving the accuracy of underwater acoustic target recognition with only a small number of labeled data, we proposed a novel recognition method, including 4 steps: pre-processing, pre-training, fine-tuning and recognition.
Xiaoquan Ke, Fei Yuan, En Cheng
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Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey
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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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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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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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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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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Underwater acoustic target recognition under working conditions mismatch
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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The Journal of the Acoustical Society of America, 2022 Underwater acoustic target recognition is an intractable task due to the complex acoustic source characteristics and sound propagation patterns. Limited by insufficient data and narrow information perspective, recognition models based on deep learning seem far from satisfactory in practical underwater scenarios. Although underwater acoustic signals are
Yuan Xie, Jiawei Ren 0006, Ji Xu 0004
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