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Adversarial Training for Underwater Target Recognition in Complex Marine Conditions
2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2020Studies on underwater target recognition have been making impressive progress recently due to the application of many deep learning methods. However, when the test set and training set contain different marine background noises, the performance of the trained model deteriorates.
Xin Zeng +5 more
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Applying Improved BP Neural Network In Underwater Targets Recognition
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006Underwater targets recognition bas always been a difficulty in anti-submarine warfare. The current recognition methods are either applying underwater signal processing technology or depending on the sonar operator's experience. But due to the complexity of the marine circumstances, it usually fails to meet the need of anti-submarine warfare when using ...
Shen Zhihe, Liu Feng
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The research of underwater target recognition method based on deep learning
2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2017The deep learning is a popular research direction in machine learning field now. In this paper, the deep learning algorithms are used to recognize the underwater target radiated noises. The deep belief network (DBN) model and the stacked denoising autoencoder (SDAE) model are built respectively.
Yuechao Chen, Xiaonan Xu
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CA_MobileNetV2 for Underwater Acoustic Target Recognition
2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2023Gao Tian +4 more
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Underwater target recognition system based on Case-Based Reasoning
2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008Case-based reasoning(CBR) is a recent approach to problem solving and learning. Originating in the US, the basic idea and underlying theories have spread to other continents. In this paper, A underwater target recognition system based on CBR is designed.
Jun Xie +3 more
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Underwater Acoustic Target Recognition with Fusion Feature
2021Pengyuan Qi +4 more
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An Underwater Acoustic Target Recognition Method Based on AMNet
IEEE Geoscience and Remote Sensing Letters, 2023Biao Wang 0002 +4 more
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Contributions to Automatic Target Recognition Systems for Underwater Mine Classification
IEEE Transactions on Geoscience and Remote Sensing, 2015This paper deals with several original contributions to an automatic target recognition (ATR) system, which is applied to underwater mine classification. The contributions concentrate on feature selection and object classification. First, a sophisticated filter method is designed for the feature selection.
Tai Fei +2 more
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An Underwater Acoustic Target Recognition Method Based on Transfer Learning
2024 9th International Conference on Electronic Technology and Information Science (ICETIS)Underwater acoustic target recognition(UATR)is a challenging task Due to the high cost of sampling data, it is difficult to build a large-scale dataset.In this study,a new method based on transfer learning with a VGG16 model(Transfer-VGG16) is developed in which three-dimensional(3-D)data is used as the input.Use the dataset obtained in real scenarios
Xiaozhuo Yang +5 more
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