• Acta Optica Sinica
  • Vol. 31, Issue 12, 1228003 (2011)
Zhao Liaoying1、*, Shen Yinhe1, Li Xiaorun2, and Cui Jiantao2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/aos201131.1228003 Cite this Article Set citation alerts
    Zhao Liaoying, Shen Yinhe, Li Xiaorun, Cui Jiantao. Composite Kernel Target Detection Based on Mathematical Morphology for Hyperspectral Imagery[J]. Acta Optica Sinica, 2011, 31(12): 1228003 Copy Citation Text show less
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    [6] Kun Tan, Peijun Du. Combined multi-kernel support vector machine and wavelet analysis for hyperspectral remote sensing image classification[J]. Chin. Opt. Lett., 2011, 9(1): 011003

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    [8] Li Na, Zhao Huijie, Jia Guorui et al.. Anomaly detection based on extended mathematical morphology for hyperspectral imagery[J]. Acta Optica Sinica, 2008, 28(8): 1480~1484

    [9] Zhao Liaoying, Zhang Kai, Li Xiaorun. Kernel signature space orthogonal projection for target detection in hyperspectral imagery[J]. J. Remote Sensing, 2011, 15(1): 13~28

    [10] Liu Sheng, Wang Xiaoyu, Qiu Xinfa. A mathematical morphology filtering algorithm for high-resolution remote sensing image[J]. Meteorology and Disaster Reduction Research, 2008, 31(4): 48~51

    [11] Duan Shan. Mathematical Morphology and its Application Research in Remote Sensing Image Processing[D]. Wuhan:Wuhan Univesity, 2004. 115~124

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    [14] R. N. Clark. Spectral library 06. USGS digital spectral Libraries [OL]. [2011-5-10]. http://speclab.cr.usgs.gov

    [15] Li Xiaorun, Wu Xiaoming, Zhao Liaoying. Unsupervised nonlinear decomposition method of hyperspectral imagery[J]. J. Zhejiang University( Engineering Science), 2011, 45(4): 607~613

    [16] US Army Corps of Engineers. Hypercube [OL]. [2011-10-24]. http://www.agc.army.mil/Hypercube/

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    Zhao Liaoying, Shen Yinhe, Li Xiaorun, Cui Jiantao. Composite Kernel Target Detection Based on Mathematical Morphology for Hyperspectral Imagery[J]. Acta Optica Sinica, 2011, 31(12): 1228003
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