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WANG Xiaoqing, QI Rui, YAO Xiaonan, et al. High-precision simulation of dynamic oceans synthetic aperture radar imaging and its typical application[J]. Journal of Radars, in press. doi: 10.12000/JR24255
Citation: WANG Xiaoqing, QI Rui, YAO Xiaonan, et al. High-precision simulation of dynamic oceans synthetic aperture radar imaging and its typical application[J]. Journal of Radars, in press. doi: 10.12000/JR24255
shu

High-precision Simulation of Dynamic Oceans Synthetic Aperture Radar Imaging and its Typical Application

DOI: 10.12000/JR24255 CSTR: 32380.14.JR24255
  • 1.

    School of Electronic and Communication Engineering, Sun Yat sen University, Shenzhen 518107, China

  • 2.

    School of Systems Science and Engineering, Sun Yat sen University, Guangzhou 510275, China

  • 3.

    Information Science and Technology College, Dalian Maritime University, Dalian 116026, China

Funds:  The National Key R&D Program of China (2023YFB3904905)
More Information
  • Corresponding author: YAO Xiaonan, yaoxn@dlmu.edu.cn
  • Received Date: 2024-12-22
  • Rev Recd Date: 2025-03-23
    • Available Online: 2025-04-03
    Abstract
  • Synthetic Aperture Radar (SAR) ocean remote sensing simulation is an important analytical tool for designing SAR systems for ocean applications. It can also provide training samples for detecting and recognizing SAR images of complex ocean phenomena. Therefore, it plays an important role in the design and application of SAR ocean remote sensing systems. The motion, time-varying, and decoherence characteristics of the sea surface caused the simulation difficulty and calculation amount of SAR ocean remote sensing to be much larger than those of fixed land targets. Therefore, improving the simulation efficiency while ensuring the simulation accuracy is key to achieving high-precision and high-efficiency simulation of SAR ocean imaging. This study introduces the main methods, development status, and main problems of dynamic ocean SAR imaging simulation and provides methods for realizing key problems in high-precision simulation of dynamic ocean SAR imaging. The method can complete the simulation of a 4 m resolution at a 400 km2 scene within 10 min while ensuring high fidelity. Under typical working conditions, the spectral peak error of a simulated SAR image is 3%, and the spectral width error is 4%. The typical applications of dynamic ocean surface SAR imaging simulation in wave spectrum inversion, wave texture suppression based on depth cancellation networks, and ship wake detection based on the Wake2Wake network are introduced. On the one hand, these applications verify that the fidelity of the high-precision simulation of dynamic sea SAR imaging presented in this study can satisfy the requirements of intelligent simulation training. On the other hand, the high-precision simulation offers a good prospect for intelligent application of SAR ocean images and can be an important method for providing samples for intelligent application of SAR ocean remote sensing.

     

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