Spectroscopy and Spectral Analysis, Volume. 33, Issue 3, 746(2013)

Hyperspectral Remote Sensing Image Classification Based on SVM Optimized by Clonal Selection

LIU Qing-jie1,2、*, JING Lin-hai1,2, WANG Meng-fei3, and LIN Qi-zhong1,2
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(9)

    [2] [2] Maheshn Pal, Giles M. Foody IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(5): 2297.

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    [7] [7] Zhang Hongsheng, Zhang Yuanzhi, Lin Hui. International Journal of Applied Earth Observation and Geoinformation, 2012, 18: 148.

    [8] [8] Shigeo Abe. Support Vector Machines for Pattern Classification (Advances in Pattern Recognition) (Second Edition). Springer, 2010.

    [10] [10] Friedrichs F, Igel C. Evolutionary Tuning of Multiple SVM Parameters[C]. Proceedings of the Twelfth European Symposium on Artificial Neural Networks (ESANN2004), 2004. 519.

    [11] [11] De Castro L N, Von Zuben F J. The Clonal Selection Algorithm with Engineering Application. Proceedings of Genetic and Evolutionary Computation Conference, Las Vegas, Nevada, USA, 2000. 36.

    [13] [13] Landgrebe D. Signal Theory Method in Multispectral Remote Sensing[M].Hoboken, NJ: Wiley, 2003.

    [14] [14] Li Cheng Hsuan, Kuo Bor-Chen, Lin Chin Teng, et al. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(3): 784.

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    LIU Qing-jie, JING Lin-hai, WANG Meng-fei, LIN Qi-zhong. Hyperspectral Remote Sensing Image Classification Based on SVM Optimized by Clonal Selection[J]. Spectroscopy and Spectral Analysis, 2013, 33(3): 746

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    Paper Information

    Received: Aug. 17, 2012

    Accepted: --

    Published Online: Mar. 27, 2013

    The Author Email: LIU Qing-jie (qijliu@ceode.ac.cn)

    DOI:10.3964/j.issn.1000-0593(2013)03-0746-06

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