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The Classification of Underwater Acoustic Targets Based on Deep Learning Methods

机译：基于深度学习方法的水下声学目标分类

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Hao Yue; Lilun Zhang; Dezhi Wang; Yongxian Wang; Zengquan Lu;
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年度 2017
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1. Deep learning-based framework for expansion, recognition and classification of underwater acoustic signal [J] . Jin Guanghao, Liu Fan, Wu Hao, Journal of Experimental and Theoretical Artificial Intelligence . 2020,第2期

机译：基于深度学习的扩展，识别和水下声信号分类的框架
2. Deep Learning Based on Striation Images for Underwater and Surface Target Classification [J] . Xingyue Zhou, Kunde Yang, Rui Duan IEEE signal processing letters . 2019,第9期

机译：基于条纹图像的深度学习用于水下和水面目标分类
3. Classification of Ground Targets Based on Radar Micro-Doppler Signatures Using Deep Learning and Conventional Supervised Learning Methods [J] . Peibei Cao, Weijie Xia, Yi Li Radioengineering . 2018,第3期

机译：深度学习和常规监督学习方法基于雷达微多普勒签名的地面目标分类
4. The Classification of Underwater Acoustic Targets Based on Deep Learning Methods [C] . Hao Yue, Lilun Zhang, Dezhi Wang, International Conference on Control, Automation and Artificial Intelligence . 2017

机译：基于深度学习方法的水下声学目标分类
5. Optimization for Training Deep Models and Deep Learning Based Point Cloud Analysis and Image Classification [D] . Wu, Yuanwei . 2019

机译：培养深层模型的优化与基于深度学习的点云分析和图像分类
6. Deep Learning Methods for Underwater Target Feature Extraction and Recognition [O] . Gang Hu, Kejun Wang, Yuan Peng, 2018

机译：水下目标特征提取与识别的深度学习方法
7. Underwater Acoustic Signal Classification Based on Sparse Time–Frequency Representation and Deep Learning [O] . Yongchun Miao, Yuriy V. Zakharov, Haixin Sun, 2021

机译：基于稀疏时频表示和深度学习的水下声学信号分类

The Classification of Underwater Acoustic Targets Based on Deep Learning Methods

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