• Infrared and Laser Engineering
  • Vol. 44, Issue S, 236 (2015)
Wang Xiaofei*, Wang Xiaoyi, Shi Xiangyu, Yan Qiujing, and Chen Xiangnan
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  • [in Chinese]
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    DOI: Cite this Article
    Wang Xiaofei, Wang Xiaoyi, Shi Xiangyu, Yan Qiujing, Chen Xiangnan. Target detection algorithm based on spatial-contextual image one class classification[J]. Infrared and Laser Engineering, 2015, 44(S): 236 Copy Citation Text show less
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    [2] He Lin, Pan Quan, Di Wa, et al. Research advance on target detection for hyperspectral imagery[J]. Acta Electronice Sinica, 2009, 37(9): 2016-2024. (in Chinese)

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    [4] Wang Xiaofei. Hyperspectral image resolution enhancement and its application on small target detection[D]. Harbin: Harbin Institure of Technology, 2011. (in Chinese)

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    [6] Hammoud R I. Advances in Pattern Recognition[M]. London: Springer, 2009: 173-194.

    [7] Ren H, Chang Y L. Multispectral subpixel detection using least square unmixing[C]//IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006: 2754-2756.

    [8] Schaum A P. Spectral subspace matched filtering. algorithms for multispectral, hyperspectral, and ultraspectral imagery[C]//SPIE, 2001: 1-17.

    [9] Harsanyi J C. Detection and classification of subpixel spectral signatures in hyperspectral image sequences[D]. US: University of Maryland, 1993: 21-42.

    [10] Wang Xiaofei, Zhang Junping, Zhang Ye. Unmixing algorithm of hyperspectral images[J]. J Infrared Millim Waves, 2010, 29(3): 210-215, 229. (in Chinese)

    [11] Liu Xiang. Target detection on hyperspectral imagery based on transformation of spectral dimensions[D]. Beijing: University of Chinese Academy of Sciences, 2008. (in Chinese)

    Wang Xiaofei, Wang Xiaoyi, Shi Xiangyu, Yan Qiujing, Chen Xiangnan. Target detection algorithm based on spatial-contextual image one class classification[J]. Infrared and Laser Engineering, 2015, 44(S): 236
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