• Acta Photonica Sinica
  • Vol. 45, Issue 3, 330003 (2016)
REN Xiao-dong1、2、* and LEI Wu-hu1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10. 3788/gzxb20164503.0330003 Cite this Article
    REN Xiao-dong, LEI Wu-hu. Kernel Anomaly Detection Method in Hyperspectral Imagery Based on the Spectral Discrimination Method[J]. Acta Photonica Sinica, 2016, 45(3): 330003 Copy Citation Text show less
    References

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    [2] DU B, ZHANG L. Target detection based on a dynamic subspace[J]. Pattern Recognition, 2014, 47(1):344-358.

    [3] SCHAUM A. Spectral subspace matched filtering[C]. Proceedings of the SPIE-the International Society for Optical Engineering, 2001, 4381: 1 17

    [4] HARSANYI J C, CHANG C I. Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach[J]. IEEE Transaction on Geoscience and Remote Sensing, 1994, 32(4): 779-785.

    [5] DU B, ZHANG Y, ZHANG L, et al. A hypothesis independent subpixel target detector for hyperspectral images[J]. Signal Processing, 2015, 110: 244-249.

    [6] REED I S,YU X. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution[J]. IEEE Tran Sactions on Acoustics Speech and Signal Processing, 1990, 38(10):1760-1770.

    [7] HEESUNG K, NASRABADI N M. Kernel RX-algorithm:anonlinear anomaly detector for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(2):388-397.

    [8] MEI Feng, ZHAO Chun-hui, SUN Yan, et al. A novel spectral similarity measurement kernel based anomaly detection method in hyperspectral imagery[J]. Acta Photonica Sinica, 2009, 18(5):3165-3170.

    [9] ZHANG Xiu-bao, YUAN Yan, JING Juan-juan, et al. Spectral discrimination method information divergence combined with gradient angle[J]. Spetroscopy and Spectral Analysis, 2011, 31(3):853-857.

    [10] WANG Liang-liang, LI Zhi-yong, SUN Ji-xiang. Anomaly detection in hyperspectral imagery based on spectral gradient and LLE[J]. Applied Mechanics and Materials, 2012, 121(10) : 720-724

    [11] WANG Liang-liang, LI Zhi-yong, SUN Ji-xiang. Improved RX algorithm with global statistics[J]. Applied Mechanics and Materials, 2014, 446(11) :942-945

    [12] MEI Feng, ZHAO Chun-hui. Spatial filter based anomaly detection algorithm for hyperspectral imagery kernel RX detectors[J]. Journal of Harbin Engineering University, 2009, 30(6):697-702.

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    [14] ZHAO Chun-hui, LI Jie, MEI Feng. A kernel weighted RX algorithm for anomaly detection in hyperspectral imagery[J]. Iournal of Infrared and Millimeter Waves, 2010, 29(5):378-382.

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    [1] ZHAO Liao-ying, LIN Wei-jun, WANG Yu-lei, LI Xiao-run. Non-casual Real-time RXD Detection for Hyperspectral Imagery Based on Sliding Array[J]. Acta Photonica Sinica, 2018, 47(7): 710001

    REN Xiao-dong, LEI Wu-hu. Kernel Anomaly Detection Method in Hyperspectral Imagery Based on the Spectral Discrimination Method[J]. Acta Photonica Sinica, 2016, 45(3): 330003
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