Geometry parameters recognition method for underwater target model based on Kriging surrogate model
Zhongguo Jianchuan YanjiuObjectivesUnderwater target parameter recognition can provide the basis for target classification and recognition. To this end, an underwater target parameter recognition method based on the Kriging surrogate model is proposed.
Jiang LIU, Yansen LIU, Sheng LI
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Adversarial Attacks in Underwater Acoustic Target Recognition with Deep Learning Models
Remote Sensing, 2023 Deep learning models can produce unstable results by introducing imperceptible perturbations that are difficult for humans to recognize. This can have a significant impact on the accuracy and security of deep learning applications due to their poorly understood interpretability.
Sheng Feng +3 more
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Journal of Marine Science and EngineeringTo enhance the adaptability of current underwater acoustic target recognition technology in complex marine environments and improve the performance of human–machine collaborative operations, this study proposes a human–machine collaborative underwater ...
Jiaqi Zhang +5 more
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Graph Embedding With Mel-Spectrograms for Underwater Acoustic Target Recognition
IEEE Journal of Oceanic EngineeringUnderwater acoustic target recognition (UATR) is extremely challenging due to the complexity of ship-radiated noise and the variability of ocean environments. Although deep learning (DL) approaches have achieved promising results, most existing models implicitly assume that underwater acoustic data lie in a Euclidean space. This assumption, however, is
Sheng Feng, Shuqing Ma, Xiaoqian Zhu
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An Features Extraction and Recognition Method for Underwater Acoustic Target Based on ATCNN
CoRR, 2020 Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target recognition (UATR) using ship-radiated noise. Inspired by neural mechanism of auditory perception, this paper provides a new deep neural network trained by original underwater acoustic signals with depthwise separable convolution (DWS) and time ...
Gang Hu, Kejun Wang, Liangliang Liu
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ia-PNCC: Noise Processing Method for Underwater Target Recognition Convolutional Neural Network [PDF]
, 2019 Underwater target recognition is a key technology for underwater acoustic countermeasure. How to classify and recognize underwater targets according to the noise information of underwater targets has been a hot topic in the field of underwater acoustic ...
Lei Chen +6 more
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A Robust Feature Extraction Method for Underwater Acoustic Target Recognition Based on Multi-Task Learning [PDF]
, 2023 Target classification and recognition have always been complex problems in underwater acoustic signal processing because of noise interference and feature instability.
Tongsheng Shen +4 more
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Calibration and image formation in the ABACUS sonar system [PDF]
, 2005 Includes bibliographical references (leaves 138-139)
Ng, Ferdinand
core
Deep Learning Methods for Underwater Target Feature Extraction and Recognition [PDF]
, 2018 The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert-Huang transform, and Mel frequency cepstral
Kejun Wang +5 more
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Generalizable Underwater Acoustic Target Recognition Using Feature Extraction Module of Neural Network [PDF]
, 2022 The underwater acoustic target signal is affected by factors such as the underwater environment and the ship’s working conditions, causing the generalization of the recognition model is essential.
Tongsheng Shen +5 more
core +1 more source