2D.

Junying Zeng1, Yajin Gu2, Chuanbo Qin3

  • 1School of Electronics and Information Engineering, Wuyi University, Guangdong, 529020, China.

Scientific reports
|October 9, 2024
PubMed
概括

本研究引入了一种新的双空间生成对抗域适应细分框架 (DS-DWTGAN),以改善远程传感图像的跨域细分. 该方法增强了模型的稳定性和适应性,性能优于最先进的方法.

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