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Updated: May 9, 2026

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DCDGNet:双频交叉特征扩散GAN用于在暴露的海底管道检查中生成单个聚变声纳图像

Jingyao Zhang1, Xuerong Cui2, Song Dai1

  • 1College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, 266580, China.

Marine pollution bulletin
|January 14, 2026
PubMed
概括

这项研究引入了一个新的AI模型,双频交叉特征扩散GAN (DCDGNet),用于生成用于海底管道检查的合成声纳图像. 这解决了数据稀缺问题,提高了安全性,减少了海洋污染风险.

关键词:
扩散模型的扩散模型.暴露的管道图像生成融合声纳图像的图像.生成性的对抗性网络.海洋污染风险 海洋污染风险

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