• Laser & Optoelectronics Progress
  • Vol. 56, Issue 4, 042801 (2019)
Xiaohui Zhang, Runfang Hao, and Tingyu Li*
Author Affiliations
  • College of Information and Computer Science, Taiyuan University of Technology, Taiyuan, Shanxi 030600, China
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    DOI: 10.3788/LOP56.042801 Cite this Article Set citation alerts
    Xiaohui Zhang, Runfang Hao, Tingyu Li. Hyperspectral Abnormal Target Detection Based on Low Rank and Sparse Matrix Decomposition-Sparse Representation[J]. Laser & Optoelectronics Progress, 2019, 56(4): 042801 Copy Citation Text show less
    Simulated data. (a) Pseudo color image; (b) ground truth
    Fig. 1. Simulated data. (a) Pseudo color image; (b) ground truth
    Real data. (a) Pseudo color image on AVIRIS airplane data; (b) ground truth on AVIRIS airplane data; (c) pseudo color image on HYDICE urban data; (d) ground truth on HYDICE urban data
    Fig. 2. Real data. (a) Pseudo color image on AVIRIS airplane data; (b) ground truth on AVIRIS airplane data; (c) pseudo color image on HYDICE urban data; (d) ground truth on HYDICE urban data
    Visualization of detection results on simulated datasets. (a) GRX; (b) LRX; (c) LRaSMD; (d) SRD; (e) LRaSMD-SR
    Fig. 3. Visualization of detection results on simulated datasets. (a) GRX; (b) LRX; (c) LRaSMD; (d) SRD; (e) LRaSMD-SR
    ROC curves. (a) Simulated data; (b) AVIRIS airplane true data; (c) HYDICE urban data
    Fig. 4. ROC curves. (a) Simulated data; (b) AVIRIS airplane true data; (c) HYDICE urban data
    Visualization of detection results on AVIRIS dataset. (a) GRX; (b) LRX; (c) LRaSMD; (d) SRD; (e) LRaSMD-SR
    Fig. 5. Visualization of detection results on AVIRIS dataset. (a) GRX; (b) LRX; (c) LRaSMD; (d) SRD; (e) LRaSMD-SR
    Visualization of detection results on HYDICE dataset. (a) GRX; (b) LRX; (c) LRaSMD; (d) SRD; (e) LRaSMD-SR
    Fig. 6. Visualization of detection results on HYDICE dataset. (a) GRX; (b) LRX; (c) LRaSMD; (d) SRD; (e) LRaSMD-SR
    AlgorithmSimulateddataAVIRISairplaneHYDICEurban
    GRX10.93570.8500
    LRX0.99950.96310.9071
    LRaSMD0.99960.98740.7277
    SRD0.91410.93890.9175
    LRaSMD-SR10.99080.9705
    Table 1. AUC theoretical value by detection algorithms
    GRXLRXLRaSMDSRDLRaSMD-SR
    0.850.90710.71840.87370.9678
    0.850.90710.71320.91760.9599
    0.850.90710.71590.90020.9705
    0.850.90710.72770.87420.9679
    0.850.90710.70090.8850.9651
    Table 2. AUC experimental results by detection algorithms
    Source ofvarianceSquare sum ofdispersionDegree offreedomAverage sum ofsquaresF valueSignificance
    Inter-group0.1840.045450*
    Intra-group0.0018200.0001
    Table 3. Significance analysis
    Xiaohui Zhang, Runfang Hao, Tingyu Li. Hyperspectral Abnormal Target Detection Based on Low Rank and Sparse Matrix Decomposition-Sparse Representation[J]. Laser & Optoelectronics Progress, 2019, 56(4): 042801
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