• Journal of Infrared and Millimeter Waves
  • Vol. 29, Issue 2, 150 (2010)
LI Jie1、*, ZHAO Chun-Hui2, and MEI Feng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    LI Jie, ZHAO Chun-Hui, MEI Feng. DETECTING HYPERSPECTRAL ANOMALY BY USING BACKGROUND RESIDUAL ERROR DATA[J]. Journal of Infrared and Millimeter Waves, 2010, 29(2): 150 Copy Citation Text show less
    References

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    [2] Harsanyi J C, Chang C I. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection[J]. IEEE Trans. on Geoscience and Remote Sensing.1994,32(4):779-785.

    [3] Shaw G, Mankolakis D. Signal processing for hyperspectral image exploitation[J]. IEEE Signal Processing Magazine,2002,19(1):12-16.

    [8] Schweizer S M, Moura J M F. Efficient detection in hyperspectral imagery[J]. IEEE Trans. On Image Processing.2001,10(4):584-597.

    [9] Reed I S, Yu X. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution[J]. IEEE Trans. Acoust., Speech Singal Process.1990,38(10):1760-1770.

    [10] Kwon H, Nasrabadi N M. Kernel RX-Algorithm: A nonlinear anomaly detector for hyperspectral imagery[J]. IEEE Trans. Geoscience and Remote Sensing.2005,43(2):388-397.

    [11] Keshave N, Mustard J F. Spectral unmixing[J]. IEEE Signal Processing Magazine.2002,19(1):44-57.

    LI Jie, ZHAO Chun-Hui, MEI Feng. DETECTING HYPERSPECTRAL ANOMALY BY USING BACKGROUND RESIDUAL ERROR DATA[J]. Journal of Infrared and Millimeter Waves, 2010, 29(2): 150
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