• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 6, 1905 (2021)
HE Shao-fang1、*, SHEN Lu-ming1, and XIE Hong-xia2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2021)06-1905-07 Cite this Article
    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 Copy Citation Text show less
    References

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

    [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.

    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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