Spectroscopy and Spectral Analysis, Volume. 41, Issue 6, 1905(2021)

Hyperspectral Estimation Model of Soil Organic Matter Content Using Generative Adversarial Networks

HE Shao-fang1、*, SHEN Lu-ming1, and XIE Hong-xia2
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(3)

    [7] [7] Goodfellow I, Pouget-abadie J, Mirza M, et al. Generative Adversarial Nets. In: Advances in Neural Information Processing Systems, Springer, Berlin, 2014: 2672.

    [8] [8] Radford A, Metz L, Chintala S. Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks, 2016, CORR abs/1511.06434.

    [14] [14] Salimans T, Goodfellow I, Zaremba W, et al. Improved Techniques for Training GANs, International Conference on Neural Information Processing Systems, NIPS’16, 2016, 2234.

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    HE Shao-fang, SHEN Lu-ming, XIE Hong-xia. Hyperspectral Estimation Model of Soil Organic Matter Content Using Generative Adversarial Networks[J]. Spectroscopy and Spectral Analysis, 2021, 41(6): 1905

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    Paper Information

    Received: Jun. 11, 2020

    Accepted: --

    Published Online: Jul. 16, 2021

    The Author Email: Shao-fang HE (wxdyzp@sina.com)

    DOI:10.3964/j.issn.1000-0593(2021)06-1905-07

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