Acta Optica Sinica, Volume. 39, Issue 10, 1028002(2019)

Hyperspectral Image Classification Algorithm Based on Two-Channel Generative Adversarial Network

Xiaojun Bi1 and Zeyu Zhou2、*
Author Affiliations
  • 1 Department of Information Engineering, Minzu University of China, Beijing 100081, China
  • 2 College of Information and Communication Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
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    References(17)

    [7] Wu H, Prasad S. Convolutional recurrent neural networks for hyperspectral data classification[J]. Remote Sensing, 9, 298(2017).

    [11] Goodfellow I J, Pouget-Abadie J, Mirza M et al. Generative adversarial nets[C]∥Proceedings of the 27th International Conference on Neural Information Processing Systems, December 8-13, 2014, Montreal, Canada. Cambridge, MA,, 2, 2672-2680(2014).

    [14] Radford A, Metz L. -01-07)[2019-02-10]. https: ∥arxiv., org/abs/1511, 06434(2016).

    [15] Yang S S. Research on conditional generative adversarial networks model based on VAE[D]. Changchun: Jilin University, 26-29(2018).

    [16] Odena A, Olah C, Shlens J. Conditional image synthesis with auxiliary classifier GANs. [C]∥Proceedings of the 34th International Conference on Machine Learning, August 6-11, 2017, Sydney, Australis. Massachusetts: JMLR. org, 2642-2651(2017).

    [17] Ma X R. Hyperspectral imagery classification based on deep learning[D]. Dalian: Dalian University of Technology, 30-31(2017).

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    Xiaojun Bi, Zeyu Zhou. Hyperspectral Image Classification Algorithm Based on Two-Channel Generative Adversarial Network[J]. Acta Optica Sinica, 2019, 39(10): 1028002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Feb. 22, 2019

    Accepted: Jun. 21, 2019

    Published Online: Oct. 17, 2019

    The Author Email: Zhou Zeyu (zhouzeyu100@hrbeu.edu.cn)

    DOI:10.3788/AOS201939.1028002

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