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Updated: Jan 13, 2026

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太阳能EUV遥感图像的质量评估使用多功能融合.

Shuang Dai1,2, Linping He1, Shuyan Xu1

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)
|October 29, 2025
PubMed
概括

本研究介绍了一种混合人工智能框架,用于评估太阳极紫外线 (EUV) 图像质量. 结合深度学习和物理指标,可以实现太空科学自动化质量控制的高精度.

关键词:
财政年度-3E.深度学习是一种深度学习.功能融合功能融合功能图像质量评估 图像质量评估太阳物理 太阳物理太空天气空间天气

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