• Spectroscopy and Spectral Analysis
  • Vol. 40, Issue 8, 2538 (2020)
WANG Qiang-hui1, HUA Wen-shen1、*, HUANG Fu-yu1, ZHANG Yan1, and YAN Yang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2020)08-2538-08 Cite this Article
    WANG Qiang-hui, HUA Wen-shen, HUANG Fu-yu, ZHANG Yan, YAN Yang. Hyperspectral Anomaly Detection Based on Approximate Posterior Information[J]. Spectroscopy and Spectral Analysis, 2020, 40(8): 2538 Copy Citation Text show less
    References

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    [4] Liu Weimin, Chang Chein-I. Multiple-Window Anomaly Detection for Hyperspectral Imagery. Igarss: IEEE International Geoscience and Remote Sensing Symposium, 2008.IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2013, 6(2): 644.

    [5] Sun Weiweei, Liu Chun, Li Jialin. Journal of Applied Remote Sensing, 2014, 8(1): 083641.

    [6] Zhang Yuxiang, Du Bo, Zhang Liangpei, et al. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(3): 1376.

    [7] Xu Yang, Wu Zebin, Li Jun, et al. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(4): 1990.

    [8] Harsanyi Joseph C, Chang Chein-I. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4): 779.

    WANG Qiang-hui, HUA Wen-shen, HUANG Fu-yu, ZHANG Yan, YAN Yang. Hyperspectral Anomaly Detection Based on Approximate Posterior Information[J]. Spectroscopy and Spectral Analysis, 2020, 40(8): 2538
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