• Opto-Electronic Engineering
  • Vol. 39, Issue 12, 97 (2012)
SUN Xu-guang1、2、*, CAI Jing-ju1, XU Zhi-yong1, and ZHANG Jian-lin1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2012.12.016 Cite this Article
    SUN Xu-guang, CAI Jing-ju, XU Zhi-yong, ZHANG Jian-lin. Hyperspectral Unmixing Based on Nonnegative Matrix Factorization[J]. Opto-Electronic Engineering, 2012, 39(12): 97 Copy Citation Text show less
    References

    [1] Patrik O Hoyer. Nonnegative Sparse Coding [C]// Proc. IEEE Workshop on Neural Networks for Signal Processing, Martigny, Switzerland,Sept 4-6,2002: 557-565.

    [2] Pauca V P,Piper J,Plemmons R J,et al. Nonnegative matrix factorization for spectral data analysis [J]. Linear Algebra and Its Applications,2006,416(1): 29-47.

    [3] TAO Feng,Li S Z,Shum Heung-Yeung,et al. Local Nonnegative Matrix Factorization as a Visual Representation [J]. The 2nd IEEE International Conference on Development and Learning,Cambridge, Massachusetts, USA,June 12-15,2002: 178-183.

    [4] Patrik O Hoyer. Non-negative matrix factorization with sparseness constrains [J]. Journal of Machine Learning Research(S1532-4435),2004,5: 1457-1469.

    [5] Lee D D,Seung H S. Learning the parts of objects by nonnegative matrix factorization [J]. Nature(S0079-8835),1999,401: 788-791.

    [6] Paatero P. Least squares formulation of robust non-negative factor analysis [J]. Chemometrics and Intelligent Laboratory Systems(S0169-7439),1997,37(1): 23-35.

    [7] Lee D D,Seung H S. Algorithms for non-negative matrix factorization [J]. Advances in Neural Information Processing Systems(S1049-5258),2000,13: 556-562.

    [8] Kieko Kochi,Dietrich Lehmann,Roberto D Pascual-Marqui,et al. Non-smooth Nonnegative Matrix Factorization (nsNMF) [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2006,28(3): 403-415.

    [9] Antonio Plaza,Pablo Martínez,Rosa Pérez,et al. Spatial/Spectral Endmember Extraction by Multidimensional Morphological Operations [J]. IEEE Transaction on Geoscience and Remote Sensing(S0196-2892),2002,40(J): 2025-2041.

    [10] Miao L,Qi H. Endmember extraction from highly mixed data using minmum volume constrained nonnegative matrix factorization [J]. IEEE Transaction on Geoscience and Remote Sensing(S0196-2892),2007,45(3): 765-777.

    SUN Xu-guang, CAI Jing-ju, XU Zhi-yong, ZHANG Jian-lin. Hyperspectral Unmixing Based on Nonnegative Matrix Factorization[J]. Opto-Electronic Engineering, 2012, 39(12): 97
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