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首页> 外文期刊>Journal of Imaging Science and Technology >Adaptive Spectral Reflectance Reconstruction Method based on Wiener Estimation Using a Similar Training Set
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Adaptive Spectral Reflectance Reconstruction Method based on Wiener Estimation Using a Similar Training Set

机译：基于相似训练集的维纳估计的自适应光谱反射率重建方法

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摘要

This article presents a new spectral reflectance reconstruction method based on Wiener estimation which adaptively reorganizes the training set according to the multi-channel image. First, the initial approximation of the spectral reflectance is reconstructed from the multi-channel images using Wiener estimation. The spectral similarities between each spectral reflectance in the original training set and the initial approximation of the spectral reflectance are then calculated using a correlation coefficient. Next, the similar training set is adaptively organized from the original training set in accordance with each spectral similarity. The final approximation of the spectral reflectance is reconstructed applying the similar training set to Wiener estimation. The performance of the proposed method is objectively compared with previous methods based on the root mean square error and shown to improve the accuracy of the spectral reflectance reconstruction. (C) 2016 Society for Imaging Science and Technology.
机译：本文提出了一种基于维纳估计的光谱反射率重建新方法，该方法根据多通道图像自适应地重组训练集。首先，使用维纳估计从多通道图像中重建光谱反射率的初始近似值。然后使用相关系数计算原始训练集中每个光谱反射率与光谱反射率的初始近似之间的光谱相似度。接下来，根据每个频谱相似度，从原始训练集中自适应地组织相似训练集。光谱反射率的最终近似值是通过将相似的训练集应用于维纳估计来重建的。将该方法的性能与基于均方根误差的先前方法进行了客观比较，结果表明该方法可以提高光谱反射率重建的准确性。 （C）2016年影像科学与技术学会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2016年第2期|020503.1-020503.8|共8页
  • 作者

    Yoo Ji-Hoon; Kim Dae-Chul; Ha Ho-Gun; Ha Yeong-Ho;

  • 作者单位

    Kyungpook Natl Univ, Sch Elect Engn, 1370 Sankyuk Dong, Taegu 702701, South Korea;

    Kyungpook Natl Univ, Sch Elect Engn, 1370 Sankyuk Dong, Taegu 702701, South Korea;

    Kyungpook Natl Univ, Sch Elect Engn, 1370 Sankyuk Dong, Taegu 702701, South Korea;

    Kyungpook Natl Univ, Sch Elect Engn, 1370 Sankyuk Dong, Taegu 702701, South Korea;

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