Laser & Optoelectronics Progress, Volume. 55, Issue 12, 122801(2018)

Hyperspectral Anomaly Detection Algorithm Based on Combination of Spectral and Spatial Information

Huihui Ju, Zhigang Liu*, and Yang Wang
Author Affiliations
  • Institute of Nuclear Engineering, Rocket Force Engineering University, Xi'an, Shaanxi 710025, China
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    Figures & Tables(11)
    Illustration of calculating pixel's spectral anomaly index and spatial structure anomaly index
    Flow chart of SSAD algorithm
    Experimental data 1. (a) Grey-scale map of the 130th band image; (b) spatial distribution map of targets
    Experimental data 2. (a) Grey-scale map of the 30th band image; (b) spatial distribution map of targets
    Experimental data 3. (a) Grey-scale map of the 100th band image; (b) spatial distribution map of targets
    Comparison of detection results on data 1 with different anomaly detection algorithms. (a) RX algorithm; (b) CRD algorithm; (c) LSMAD algorithm; (d) SSAD algorithm
    Comparison of detection results on data 2 with different anomaly detection algorithms. (a) RX algorithm; (b) CRD algorithm; (c) LSMAD algorithm; (d) SSAD algorithm
    Comparison of detection results on data 3 with different anomaly detection algorithms. (a) RX algorithm; (b) CRD algorithm; (c) LSMAD algorithm; (d) SSAD algorithm
    Comparison of ROC curves for different anomaly detection algorithms. (a) Data 1; (b) data 2; (c) data 3
    • Table 1. Effect of inner window size on SSAD algorithm detection performance

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      Table 1. Effect of inner window size on SSAD algorithm detection performance

      Inner windowsize /(pixel×pixel)Data 1Data 2Data 3
      AUCExecution time /sAUCExecution time /sAUCExecution time /s
      3×30.991213.930.90429.8620.99987.010
      5×50.996016.100.863311.300.99978.039
      7×70.996018.700.794913.200.99939.315
      9×90.994921.770.715115.640.999310.85
      11×110.994325.600.647018.170.998912.52
    • Table 2. AUC and execution time of different anomaly detection algorithms

      View table

      Table 2. AUC and execution time of different anomaly detection algorithms

      AlgorithmData 1Data 2Data 3
      AUCExecution time /sAUCExecution time /sAUCExecution time /s
      RX0.80032.4880.70731.6700.99831.280
      CRD0.9931585.60.9260102.60.996263.09
      LSMAD0.88208.4010.41216.9300.99953.766
      SSAD0.996016.100.90429.8860.99987.010
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    Huihui Ju, Zhigang Liu, Yang Wang. Hyperspectral Anomaly Detection Algorithm Based on Combination of Spectral and Spatial Information[J]. Laser & Optoelectronics Progress, 2018, 55(12): 122801

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 18, 2018

    Accepted: Jun. 15, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Liu Zhigang (dennylzg@163.com)

    DOI:10.3788/LOP55.122801

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