Spectroscopy and Spectral Analysis, Volume. 33, Issue 12, 3349(2013)

A Technique for Generating Natural Color Images Based on Local Endmembers

ZHOU Ya-nan1,2、*, LUO Jian-cheng1, SHEN Zhan-feng1, CHENG Xi1,2, and HU Xiao-dong1
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(5)

    [3] [3] Zhu Changming, Luo Jiancheng, Ming Dongping, et al. International Journal of Remote Sensing, 2012, 33(4): 1309.

    [6] [6] Cheng Yizong, Mean Shift, Mode Seeking, et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(8): 790.

    [7] [7] Cortes Corinna, Vapnik Vladimir. Support-Vector Networks. Machine Learning, 1995, 20(3): 273.

    [9] [9] Granahan J C, Sweet J N. IEEE 2001 International Geoscience and Remote Sensing Symposium, 2001, 5: 2022.

    [10] [10] Miao Lidan, QI Hong. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(3): 765.

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    ZHOU Ya-nan, LUO Jian-cheng, SHEN Zhan-feng, CHENG Xi, HU Xiao-dong. A Technique for Generating Natural Color Images Based on Local Endmembers[J]. Spectroscopy and Spectral Analysis, 2013, 33(12): 3349

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    Paper Information

    Received: Mar. 20, 2013

    Accepted: --

    Published Online: Jan. 9, 2014

    The Author Email: ZHOU Ya-nan (zhounanq@126.com)

    DOI:10.3964/j.issn.1000-0593(2013)12-3349-05

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