• Spectroscopy and Spectral Analysis
  • Vol. 38, Issue 11, 3507 (2018)
WANG Jie-chao1、2、3、*, SUN Da-peng1、2、3, ZHANG Chang-xing1, XIE Feng1, and WANG Jian-yu1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2018)11-3507-09 Cite this Article
    WANG Jie-chao, SUN Da-peng, ZHANG Chang-xing, XIE Feng, WANG Jian-yu. Hyperspectral Image Anomaly Detection Based on Laplasse Constrained Low Rank Representation[J]. Spectroscopy and Spectral Analysis, 2018, 38(11): 3507 Copy Citation Text show less
    References

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    [8] Xu Y, Wu Z, Li J, et al. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(4): 1990.

    [9] Liu G, Yan S. Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction, 2011 IEEE International Conference on Computer Vision, 2011: 1615.

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    [11] Wen Z, Goldfarb D, Yin W. Mathematical Programming Computation, 2010, 2(3): 203.

    [12] Lin Z, Liu R, Su Z. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation, Advances in Neural Information Processing Systems, 2011: 612.

    WANG Jie-chao, SUN Da-peng, ZHANG Chang-xing, XIE Feng, WANG Jian-yu. Hyperspectral Image Anomaly Detection Based on Laplasse Constrained Low Rank Representation[J]. Spectroscopy and Spectral Analysis, 2018, 38(11): 3507
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