• Spectroscopy and Spectral Analysis
  • Vol. 39, Issue 10, 3013 (2019)
KANG Xiao-yan1、2、* and ZHANG Ai-wu1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2019)10-3013-08 Cite this Article
    KANG Xiao-yan, ZHANG Ai-wu. A Novel Method for High-Order Residual Quantization-Based Spectral Binary Coding[J]. Spectroscopy and Spectral Analysis, 2019, 39(10): 3013 Copy Citation Text show less
    References

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    [6] Chang C. Hyperspectral Data Processing: Algorithm Design and Analysis. John Wiley & Sons, Inc., 2013.

    [7] Chang C, Chakravarty S, Chen H, et al. Pattern Recognition, 2009, 42(3): 395.

    [8] Jiao H, Zhong Y, Zhang L. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(8): 4524.

    [9] Wu K, Zhao D, Zhong Y, et al. Remote Sensing, 2016, 8(8): 645.

    [10] Li Z, Ni B, Zhang W, et al. IEEE International Conference on Computer Vision (ICCV), 2017: 2380.

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    [12] Khalid S. Introduction to Data Compression, Fourth Edition. Elsevier, 2012.

    KANG Xiao-yan, ZHANG Ai-wu. A Novel Method for High-Order Residual Quantization-Based Spectral Binary Coding[J]. Spectroscopy and Spectral Analysis, 2019, 39(10): 3013
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