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Updated: Jun 28, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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基于多重学习的高光谱图像的尺寸缩小和参数研究.

Wenhui Song1, Xin Zhang2, Guozhu Yang3

  • 1College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Sensors (Basel, Switzerland)
|April 13, 2024
PubMed
概括

多重学习有效地减少了超谱图像中的维度,克服了像休斯现象这样的挑战. 与其他方法相比,本地触点空间对齐 (LTSA) 方法显示出更高的分类准确性.

关键词:
减少维度,减少维度.功能提取 特性提取超光谱图像是一种超光谱图像.这是一种内在的维度.多元学习学习多元学习最优的邻里最优的邻里

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