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A cross-modal translation method from SAR images to optical images is provided in this chapter. Based on the latest generative artificial intelligence technologies, the interpretability of SAR images is enhanced. The basic principles and evaluation methods of generative adversarial networks and diffusion models are comprehensively elaborated. Two improved S2O algorithms are introduced, and their effectiveness is demonstrated through experiments. In terms of model design, two algorithm architectures, namely the dual-branch cycle-consistent and the diffusion model, are mainly introduced in this chapter.

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SAR-to-Optical Image Translation Based on Generative Artificial Intelligence

  • 章节

  • 发表日期：

    2026年

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  • Hang Chen,
  • Jinyu Wang,
  • Haitao Yang,
  • Zhiliang Li,
  • Zhengjun Liu,
  • Lei Liu

摘要

A cross-modal translation method from SAR images to optical images is provided in this chapter. Based on the latest generative artificial intelligence technologies, the interpretability of SAR images is enhanced. The basic principles and evaluation methods of generative adversarial networks and diffusion models are comprehensively elaborated. Two improved S2O algorithms are introduced, and their effectiveness is demonstrated through experiments. In terms of model design, two algorithm architectures, namely the dual-branch cycle-consistent and the diffusion model, are mainly introduced in this chapter.