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November 19, 2025Remote SensingOpen Access

An Azimuth-Continuously Controllable SAR Image Generation Algorithm Based on GAN

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Authors

YCYongjie CuiLZLiu ZhiquLRLinian Ruan

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Overview

Assessment reveals generative adversarial network improves image quality in synthetic aperture radar, indicating enhanced model performance.

Key Points

  • Generative adversarial network improves image quality when generating synthetic aperture radar images, enhancing the model's effectiveness.
  • Key contributions include mechanisms for azimuth control and a dual-discriminator framework to ensure image accuracy and realism.
  • This approach utilizes synthetic aperture radar data with a focus on nonlinear dependencies and azimuth control for generating high-fidelity images.
  • The methodology suggests improved performance for applications in satellite imaging and radar data enhancement, indicating future practical applications.

Cite This Study

Cui et al. (2025) studied this question.

synapsesocial.com/papers/6924f095c0ce034ddc350c23https://doi.org/10.3390/rs17223763
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