• Journal of Infrared and Millimeter Waves
  • Vol. 29, Issue 3, 210 (2010)
WANG Xiao-Fei1、2、*, ZHANG Jun-Ping1, and ZHANG Ye1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    WANG Xiao-Fei, ZHANG Jun-Ping, ZHANG Ye. UNMIXING ALGORITHM OF HYPERSPECTRAL IMAGES[J]. Journal of Infrared and Millimeter Waves, 2010, 29(3): 210 Copy Citation Text show less
    References

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    [4] Heinz D C, Chang C I. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery[J]. IEEE Trans. Geosci. Remote Sens.2001,39(3):529-545.

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    [7] Nascimento J M P, Dias J M B. Does independent component analysis play a role in unmixing hyperspectral data[J]. IEEE Trans. Geosci. Remote Sens.2004,43(1):175-184.

    [8] Wang Jing, Chang C I. Applications of independent component analysis in endmember extraction and abundance quantification for hyperspectral imagery[J]. IEEE Trans. Geosci. Remote Sens.2006,44(9):2601-2616.

    [9] Miao Lidan, Qi Hairong, Szu H. A maximum entropy approach to unsupervised mixed-pixel decomposition[J]. IEEE Trans. Image Processing.,2007,16(4):1008-1021.

    [10] Vapnik V N. The Nature of Statistical Learning[M]. New York: Springer-Verlag,1995.

    [11] Tax D, Duin R. Support vector data description[J]. Machine Learning,2004,54:45-46.

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    WANG Xiao-Fei, ZHANG Jun-Ping, ZHANG Ye. UNMIXING ALGORITHM OF HYPERSPECTRAL IMAGES[J]. Journal of Infrared and Millimeter Waves, 2010, 29(3): 210
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