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Updated: Jul 27, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

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克服不完整的障碍:一个高光谱图像分类的完整模型

Jiaqi Yang, Bo Du, Liangpei Zhang

    IEEE transactions on neural networks and learning systems
    |June 6, 2023
    PubMed
    概括

    这项研究引入了一种新的超光谱图像分类完整模型 (HSIC-FM),通过探索特征,重复使用它们和融合多域数据来解决性能限制. HSIC-FM显著提高了准确性,尤其是在有限的培训数据的情况下.

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    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters07:05

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    Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping12:19

    Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping

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