Acta Photonica Sinica, Volume. 49, Issue 6, 0630004(2020)

Unsupervised Nearest Regularized Subspace Based on Spectral Space Reconstruction for Hyperspectral Anomaly Detection

Zhi-wei WANG1... Kun TAN1,2,*, Xue WANG1,2, Jian-wei DING3 and Yu CHEN1 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Land, Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
  • 2Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
  • 3The Second Surveying and Mapping Institute of Hebei, Shijiazhuang, 050037, China
  • show less
    Figures & Tables(17)
    Band trace curve and trace value matrix at different bands
    Comparison of band trace curve before and after denoising and noise map
    The model of dual window
    Framework of the proposed method
    AVIRIS dataset
    ROSIS dataset
    Avon dataset
    GF-5 Xuzhou dataset
    Detection results of four data sets under different window sizes
    Detection results of various detection algorithms in AVIRIS data
    Detection results of various detection algorithms in ROSIS data
    Detection results of various detection algorithms in Avon data
    Detection results of various detection algorithms in GF-5 data
    ROC curves of four datasets
    • Table 1. Detection results of four datasets at different σd parameters

      View table
      View in Article

      Table 1. Detection results of four datasets at different σd parameters

      σdAVIRISROSISAvonGF-5
      0.10.937 60.993 20.949 10.921 0
      10.937 60.993 20.949 10.922 7
      50.939 10.993 50.950 90.927 4
      100.942 20.995 00.959 10.938 7
      500.951 20.995 40.959 10.956 5
      1000.943 40.995 40.959 10.961 1
    • Table 2. Detection results of four datasets at different λ parameters

      View table
      View in Article

      Table 2. Detection results of four datasets at different λ parameters

      λAVIRISROSISAvonGF-5
      0.010.942 70.993 50.960 40.960 5
      0.10.945 60.994 80.961 50.957 1
      10.951 20.995 40.959 10.956 5
      100.950 10.993 60.945 10.959 0
      1000.944 20.992 20.945 10.957 3
      1 0000.942 60.991 90.943 90.956 9
    • Table 3. Comparison of AUC and execution times of the different methods for four datasets

      View table
      View in Article

      Table 3. Comparison of AUC and execution times of the different methods for four datasets

      GRXRSADCRDUNRSLSADCRIDWUNRS-SSR
      AVIRISAUC0.833 40.916 50.948 50.984 30.984 60.996 2
      Time/s1.1015.5723.2622.07980.4844.03
      ROSISAUC0.991 60.980 80.911 70.899 20.978 60.999 5
      Time/s1.1525.5250.1947.571 480.94152.65
      AvonAUC0.925 20.953 30.959 50.977 80.94670.995 2
      Time/s8.37442.21161.61171.582 194.29314.34
      GF-5AUC0.971 00.985 60.966 70.969 60.98 020.991 0
      Time/s1.1922.1823.7322.10993.5198.31
    Tools

    Get Citation

    Copy Citation Text

    Zhi-wei WANG, Kun TAN, Xue WANG, Jian-wei DING, Yu CHEN. Unsupervised Nearest Regularized Subspace Based on Spectral Space Reconstruction for Hyperspectral Anomaly Detection[J]. Acta Photonica Sinica, 2020, 49(6): 0630004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Spectroscopy

    Received: Dec. 9, 2019

    Accepted: Mar. 2, 2020

    Published Online: Nov. 26, 2020

    The Author Email: TAN Kun (tankuncu@126.com)

    DOI:10.3788/gzxb20204906.0630004

    Topics