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Updated: May 6, 2026

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基于剩余通道注意力的样本适应,用于高光谱图像分类的少数拍摄学习

Yuefeng Zhao1, Jingqi Sun1, Nannan Hu2

  • 1Shandong Provincial Engineering and Technical Center of Light Manipulation, Shandong Provincial Key Laboratory of Optics and Photonic Devices, School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China.

Scientific reports
|November 5, 2024
PubMed
概括

本研究引入了一种用于高光谱图像分类 (HSIC) 的新几拍式学习 (FSL) 方法,通过捕捉跨域依赖来增强特征表示. 与现有技术相比,新方法显著提高了分类准确性.

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