• Laser & Optoelectronics Progress
  • Vol. 58, Issue 12, 1210028 (2021)
Shirui Zhang1、*, Yanguo Fan1, Hande Zhang1、2, and Dingfeng Yu3
Author Affiliations
  • 1College of Marine and Spatial Information, China University of Petroleum(East China), Qingdao, Shandong 266580,China
  • 2The Sixth Branch of the Coast Guard, Qingdao, Shandong 266012, China
  • 3Institute of Oceanographic Instrumentation, Qilu University of Technology, Shandong Academy of Sciences, Qingdao, Shandong 266061,China
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    DOI: 10.3788/LOP202158.1210028 Cite this Article Set citation alerts
    Shirui Zhang, Yanguo Fan, Hande Zhang, Dingfeng Yu. Hyperspectral Target Detection Based on Kernel Minimum Noise Separation Transformation[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210028 Copy Citation Text show less
    True distribution of aircraft locations
    Fig. 1. True distribution of aircraft locations
    Airport image
    Fig. 2. Airport image
    ROC curves of CEM detection method based on airport data
    Fig. 3. ROC curves of CEM detection method based on airport data
    ROC curves of MF detection method based on airport data
    Fig. 4. ROC curves of MF detection method based on airport data
    Four experimental results of CEM detection method based on airport data. (a)Without treatment; (b)HMNF treatment;(c)SMNF treatment;(d)SKMNF treatment
    Fig. 5. Four experimental results of CEM detection method based on airport data. (a)Without treatment; (b)HMNF treatment;(c)SMNF treatment;(d)SKMNF treatment
    Four experimental results of MF detection method based on airport data.(a)Without treatment; (b)HMNF treatment;(c)SMNF treatment;(d)SKMNF treatment
    Fig. 6. Four experimental results of MF detection method based on airport data.(a)Without treatment; (b)HMNF treatment;(c)SMNF treatment;(d)SKMNF treatment
    True distribution of stone locations
    Fig. 7. True distribution of stone locations
    Grayscale image of stones
    Fig. 8. Grayscale image of stones
    ROC curves of CEM detection method based on Cri data
    Fig. 9. ROC curves of CEM detection method based on Cri data
    ROC curves of MF detection method based on Cri data
    Fig. 10. ROC curves of MF detection method based on Cri data
    Four experimental results of CEM detection method based on Cri data. (a)Without treatment; (b)HMNF treatment;(c)SMNF treatment;(d)SKMNF treatment
    Fig. 11. Four experimental results of CEM detection method based on Cri data. (a)Without treatment; (b)HMNF treatment;(c)SMNF treatment;(d)SKMNF treatment
    Four experimental results of MF detection method based on Cri data.(a)Without treatment; (b)HMNF treatment ;(c)SMNF treatment;(d)SKMNF treatment
    Fig. 12. Four experimental results of MF detection method based on Cri data.(a)Without treatment; (b)HMNF treatment ;(c)SMNF treatment;(d)SKMNF treatment
    MethodWithout treatmentHMNF treatmentSMNF treatmentSKMNF treatment
    CEM method0.75670.87510.96020.9640
    MF method0.76110.83780.95840.9634
    Table 1. AUC value based on airport data
    MethodWithout treatmentHMNF treatmentSMNF treatmentSKMNF treatment
    CEM method0.83170.92600.92810.9359
    MF method0.84100.93420.93480.9377
    Table 2. AUC value based on Cri data
    Shirui Zhang, Yanguo Fan, Hande Zhang, Dingfeng Yu. Hyperspectral Target Detection Based on Kernel Minimum Noise Separation Transformation[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210028
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