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Joint color spectrum and conditional generative adversarial network processing for underwater acoustic source ranging

机译:水下声学源测距的联合色谱和条件生成对抗网络处理

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摘要

In recent years, machine learning has been prospectively performed in underwater acoustic ranging task. The scale of acoustic observation has a considerable impact in the performance of networks. In this paper, we propose a joint color spectrum and conditional generative adversarial network processing for underwater acoustic source ranging. The joint method maps acoustic observations into color images to extract features. Original images are fed into conditional generative adversarial network and vast images generated from the generator network could be regarded as an expansion of the training set. The feasibility and effectiveness of the joint method are verified through some statistical indexes. In addition, variational auto-encoder and principal component analysis are used to measure the similarity of generated and original data. The method yields a meaningful improvement for underwater acoustic source ranging. (C) 2021 Elsevier Ltd. All rights reserved.
机译:近年来,在水下的声学测距任务中已经前瞻性地进行了机器学习。 声学观察的规模对网络性能具有相当大的影响。 在本文中,我们提出了一种对水下声学源测距的联合色谱和条件生成的对抗网络处理。 联合方法将声学观察映射到彩色图像中以提取特征。 原始图像被馈送到条件生成的对手网络中,并且从发电机网络生成的广大图像可以被视为训练集的扩展。 通过一些统计指标验证了联合方法的可行性和有效性。 此外,变形式自动编码器和主成分分析用于测量生成和原始数据的相似性。 该方法产生了水下声学源测距的有意义的改进。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Applied Acoustics》 |2021年第11期|108244.1-108244.6|共6页
  • 作者单位

    Harbin Engn Univ Acoust Sci & Technol Lab Harbin 150001 Peoples R China|Harbin Engn Univ Key Lab Marine Informat Acquisit & Secur Harbin 150001 Peoples R China|Harbin Engn Univ Coll Underwater Acoust Engn Harbin 150001 Peoples R China;

    Harbin Engn Univ Acoust Sci & Technol Lab Harbin 150001 Peoples R China|Harbin Engn Univ Key Lab Marine Informat Acquisit & Secur Harbin 150001 Peoples R China|Harbin Engn Univ Coll Underwater Acoust Engn Harbin 150001 Peoples R China;

    Harbin Engn Univ Acoust Sci & Technol Lab Harbin 150001 Peoples R China|Harbin Engn Univ Key Lab Marine Informat Acquisit & Secur Harbin 150001 Peoples R China|Harbin Engn Univ Coll Underwater Acoust Engn Harbin 150001 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Underwater acoustic ranging; Color spectrum; Generative adversarial network; Conditional generative adversarial network; Variational auto-encoder;

    机译:水下声学测距;色谱;生成的对抗网络;有条件的生成对抗网络;变形自动编码器;

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