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    Journals >Spectroscopy and Spectral Analysis >Volume 35 >Issue 5 >Page 1357 > Article
    • Spectroscopy and Spectral Analysis
    • Vol. 35, Issue 5, 1357 (2015)
    Hyperspectral Band Selection Based on Spectral Clustering and Inter-Class Separability Factor
    QIN Fang-pu1、2、*, ZHANG Ai-wu1、2, WANG Shu-min3, MENG Xian-gang1、2, HU Shao-xing4, and SUN Wei-dong5
    Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2015)05-1357-08 Cite this Article
    QIN Fang-pu, ZHANG Ai-wu, WANG Shu-min, MENG Xian-gang, HU Shao-xing, SUN Wei-dong. Hyperspectral Band Selection Based on Spectral Clustering and Inter-Class Separability Factor[J]. Spectroscopy and Spectral Analysis, 2015, 35(5): 1357 Copy Citation Text show less
    References

    [10] Von Luxburg U.Statistics and Computing,2007,17(4):395.

    [11] Peng H,Long F,Ding C.IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(8):1226.

    CLP Journals

    [1] Zhang Aiwu, Kang Xiaoyan. Hyperspectral images band selection algorithm through p-value statistic modeling independence[J]. Infrared and Laser Engineering, 2018, 47(9): 926005

    [2] Wang Qi, Yang Guang, Zhang Jianfeng, Xiang Yingjie. Band Selection Based on Local Joint Skewness and Kurtosis for Hyperspectral Image[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111004

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    QIN Fang-pu, ZHANG Ai-wu, WANG Shu-min, MENG Xian-gang, HU Shao-xing, SUN Wei-dong. Hyperspectral Band Selection Based on Spectral Clustering and Inter-Class Separability Factor[J]. Spectroscopy and Spectral Analysis, 2015, 35(5): 1357
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