Sea Clutter Data Augmentation Method Based on Deep Generative Adversarial Network

Bin DING; Xue XIA; Xuefeng LIANG

doi:10.11999/JEIT200447

Volume 43 Issue 7

Jul. 2021

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Bin DING, Xue XIA, Xuefeng LIANG. Sea Clutter Data Augmentation Method Based on Deep Generative Adversarial Network[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1985-1991. doi: 10.11999/JEIT200447

Citation:

Bin DING, Xue XIA, Xuefeng LIANG. Sea Clutter Data Augmentation Method Based on Deep Generative Adversarial Network[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1985-1991. doi: 10.11999/JEIT200447

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Sea Clutter Data Augmentation Method Based on Deep Generative Adversarial Network

doi: 10.11999/JEIT200447 cstr: 32379.14.JEIT200447

Bin DING^{1
,
,},
Xue XIA²,
Xuefeng LIANG^{1, 3}

1.
Xi’an University, Xi’an 710065, China
2.
Xi’an Shiyou University, Xi’an 710065, China
3.
Xidian University, Xi’an 710071, China

Funds: Xi’an Science and Technology Plan (2019KJWL30)

Received Date: 2020-06-02
Rev Recd Date: 2021-02-27

Available Online: 2021-03-04

Publish Date: 2021-07-10

Abstract

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 and identification model training in the adversarial network is carried out. The amplitude distribution characteristics and time and spatial correlation of the sea clutter data generated by the model are analyzed. Based on the measured data, it is verified that the method can generate more sea clutter data with more variety, and similar distribution to the real sea clutter data.
- Generative Adversarial Networks(GAN),
- Sea clutter,
- Amplitude distribution characteristics,
- Temporal correlation

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References(17)

References

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