• Acta Photonica Sinica
  • Vol. 42, Issue 10, 1224 (2013)
ZHAO Chun-hui*, LI Xiao-hui, and TIAN Ming-hua
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/gzxb20134210.1224 Cite this Article
    ZHAO Chun-hui, LI Xiao-hui, TIAN Ming-hua. Hyperspectral Imaging Abnormal Target Detection Algorithm Using Principal Component Quantization and Density Estimation on EM Clustering[J]. Acta Photonica Sinica, 2013, 42(10): 1224 Copy Citation Text show less
    References

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    [3] MEI Feng, ZHAO Chun-hui, WANG Li-guo, YOU Jia. Support vector data description based on adaptive anomaly detection method in hyperspectral imagery[J]. Acta Photonica Sinica, 2009, 38(11): 2820-2825.

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    [7] CHANG C I. Orthogonal subspace projection (OSP) revisited: a comprehensive study and analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(3): 502-518.

    [8] ZHAO Chun-hui, HU Chun-mei. Weighted anomaly detection algorithm for hyperspectral imagebased on target orthogonal subspace projection[J]. Journal of Jilin University (Engineering and Technology Edition), 2011, 41(5): 1468-1474.

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    [10] KHAZAI S, HOMAYOUNI S, SAFARI A, et al. Anomaly detection in hyperspectral images based on an adaptive support vector method[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 646-650.

    [11] CHENG Bao-zhi, ZHAO Chun-hui, WANG Yu-lei. SVDD algorithm with spectral unmixing for anomaly detection in hyperspectral images[J]. Journal of Applied Sciences-Electronics and Information Engineering, 2012, 30(1): 82-88.

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    [14] WEN Jia, MA Cai-wen, SHUI Peng-lang. An adaptive VQ algorithm used in interferential multi spectral image[J]. Spectroscopy and Spectral Analysis, 2011, 31(4): 1033-1037.

    ZHAO Chun-hui, LI Xiao-hui, TIAN Ming-hua. Hyperspectral Imaging Abnormal Target Detection Algorithm Using Principal Component Quantization and Density Estimation on EM Clustering[J]. Acta Photonica Sinica, 2013, 42(10): 1224
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