Spectroscopy and Spectral Analysis, Volume. 37, Issue 7, 2133(2017)

Constructing Representative Calibration Dataset Based on Spectral Transformation and Kennard-Stone Algorithm for VNIR Modeling of Soil Total Nitrogen in Paddy Soil

CHEN Yi-yun1,2,3,4、*, ZHAO Rui-ying1,5, QI Tian-ci1, QI Lin1,6, and ZHANG Chao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
  • 6[in Chinese]
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    References(4)

    [1] [1] José M Soriano-Disla, Les J Janik, Raphael A Viscarra Rossel, et al. Applied Spectroscopy Reviews, 2014, 49(2): 139.

    [6] [6] Liu Yaolin, Jing Qinghu, Fei Teng, et al. Remote Sensing, 2014, 6: 4305.

    [7] [7] Shi Tiezhu, Cui Lijuan, Wang Junjie, et al. Plant Soil, 2013, 366: 363.

    [9] [9] Asmund Rinnan, Frans van den Berg, Soren Balling Engelsen. Trends in Analytical Chemistry, 2009, 28(10): 1201.

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    CHEN Yi-yun, ZHAO Rui-ying, QI Tian-ci, QI Lin, ZHANG Chao. Constructing Representative Calibration Dataset Based on Spectral Transformation and Kennard-Stone Algorithm for VNIR Modeling of Soil Total Nitrogen in Paddy Soil[J]. Spectroscopy and Spectral Analysis, 2017, 37(7): 2133

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    Paper Information

    Received: Jan. 21, 2016

    Accepted: --

    Published Online: Aug. 30, 2017

    The Author Email: CHEN Yi-yun (chenyy@whu.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2017)07-2133-07

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