• Spectroscopy and Spectral Analysis
  • Vol. 30, Issue 12, 3329 (2010)
JIANG Wei-guo1、2、*, CHEN Qiang1、2, GUO Ji3, TANG Hong1、2, and LI Xue1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    JIANG Wei-guo, CHEN Qiang, GUO Ji, TANG Hong, LI Xue. Classification of Wetlands in Multispectral Remote Sensing Image Based on HPSO and FCM[J]. Spectroscopy and Spectral Analysis, 2010, 30(12): 3329 Copy Citation Text show less
    References

    [1] Paul A Keddy. Wetland Ecology Printiples and Consercation. Cambridge: Cambridge University Press, 2000. 124.

    [2] Holland M M. Wetlands and Environment Gradients. In: M ulamoottil G, W arner B G, McBean E A. Wetland Environment Gradients, Boundaries and Buffers. CRC Press Inc. 1996. 112.

    [3] Johnson R M, Barson M M. Australian Journal of Marine and Freshwater Research, 1993, 44(2): 235.

    [4] Wright C, Gallant A. Remote Sensing of Environment, 2007, 107(4): 582.

    [5] Li Xue, Jiang Weiguo, Sheng Shaoxue, et al. Research on Wetland Classification Approaches Based on Hyperion Hyperspectral Image. Proceedings of SPIE, 2009, 7498, 74981O. 1.

    [6] Eberhart R C, Kenedy J A. Particle Swarm Optimization. In: Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, 1995. 1942.

    [7] Dunn J C. Cybernetics and Systems, 1973, (3): 32.

    [8] Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum, 1981.

    [13] Angeline P. Using Selection to Improve Particle Swarm Optimization. In: Proceedings of IEEE Intl.Conf. on Evolutionary Computation(ICEC’98), Anchorage, 1998. 84.

    [14] Lovbjerg M. Rasmussen.Hybrid Particle Swarm Optimization with Breeding and Subpopulations. In: Proceedings of the third Genetic and Evolutionary Computation Conference, 2001. 56.

    JIANG Wei-guo, CHEN Qiang, GUO Ji, TANG Hong, LI Xue. Classification of Wetlands in Multispectral Remote Sensing Image Based on HPSO and FCM[J]. Spectroscopy and Spectral Analysis, 2010, 30(12): 3329
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