• Spectroscopy and Spectral Analysis
  • Vol. 34, Issue 2, 489 (2014)
XIE Qiao-yun1、2、3、*, HUANG Wen-jiang1, LIANG Dong2、3, PENG Dai-liang1, HUANG Lin-sheng2、3, SONG Xiao-yu4, ZHANG Dong-yan2、3, and YANG Gui-jun4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2014)02-0489-05 Cite this Article
    XIE Qiao-yun, HUANG Wen-jiang, LIANG Dong, PENG Dai-liang, HUANG Lin-sheng, SONG Xiao-yu, ZHANG Dong-yan, YANG Gui-jun. Research on Universality of Least Squares Support Vector Machine Method for Estimating Leaf Area Index of Winter Wheat[J]. Spectroscopy and Spectral Analysis, 2014, 34(2): 489 Copy Citation Text show less
    References

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    [8] Jolliffe I T. Principal Component Analysis, Springer, 2002.

    [9] Giorgos Mountrakis, Jungho Im, Caesar Ogole. ISPRS Journal of Photogrammetry and Remote Sensing, 2011, 66 (3): 247.

    [10] Corinna Cortes, Vladimir Vapnik. Machine Learning, 1995, 20(3): 273.

    [11] Stephen A Sweet, Karen Grace-Martin. Data Analysis with SPSS: A First Course in Applied Statistics, Pearson, 2011.

    XIE Qiao-yun, HUANG Wen-jiang, LIANG Dong, PENG Dai-liang, HUANG Lin-sheng, SONG Xiao-yu, ZHANG Dong-yan, YANG Gui-jun. Research on Universality of Least Squares Support Vector Machine Method for Estimating Leaf Area Index of Winter Wheat[J]. Spectroscopy and Spectral Analysis, 2014, 34(2): 489
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