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Sea Clutter Data Augmentation Method Based on Deep Generative Adversarial NetworkChinese Full Text

DING Bin;XIA Xue;LIANG Xuefeng;Xi’an University;Xi’an Shiyou University;Xidian University;

Abstract: Due to the scarcity of sea clutter data, the high cost and long period of obtaining sea clutter data greatly limit the research of sea clutter characteristics and the application of ocean remote sensing. The method of sea clutter data generation based on the Generative Adversarial Networks(GAN) is studied. By extending the traditional GAN framework, a one-dimensional sea clutter data generation and identification model is formed. Based on the radar measured sea clutter data set, the generation a... More
  • Series:

    (I) Electronic Technology & Information Science; (A) Mathematics/ Physics/ Mechanics/ Astronomy

  • Subject:

    Oceanography; Telecom Technology

  • Classification Code:

    P715.7;TN957.51

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