Hyperspectral Target Detection Based on Kernel Minimum Noise Separation Transformation

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

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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

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Fig. 7. True distribution of stone locations

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Fig. 8. Grayscale image of stones

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Fig. 9. ROC curves of CEM detection method based on Cri data

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Fig. 10. ROC curves of MF detection method based on Cri data

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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

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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

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Table 1. AUC value based on airport data
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Table 1. AUC value based on airport data
Method Without treatment HMNF treatment SMNF treatment SKMNF treatment
CEM method 0.7567 0.8751 0.9602 0.9640
MF method 0.7611 0.8378 0.9584 0.9634

Table 2. AUC value based on Cri data
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Table 2. AUC value based on Cri data
Method Without treatment HMNF treatment SMNF treatment SKMNF treatment
CEM method 0.8317 0.9260 0.9281 0.9359
MF method 0.8410 0.9342 0.9348 0.9377

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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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