Chapter 3: Vehicle-Mounted GPR System for Landmine Detection

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42 3. Vehicle-Mounted GPR System for Landmine Detection ⎧ th1 = 0.2 ⎪ th2 = 0.4 ⎨ ⎪ th3 = 0.6 ⎪ ⎩ th4 = 0.8 , (3.15) i.e., the distribution is divided into five classes with the same widths. The image of confidence ratings is shown in Fig. 3.19. The two landmine models successfully are rated as 100 % confidence, and the stone is as 50 %. The stone has a curved surface, thus the back scattering might not be as strong as for the landmine models and it does not have the tail of the reflection. It might cause a low confidence rating. From the result, the survey may output three or four false alarms in the left side of the area. It can be reduced by defining the more appropriate thresholds with stochastic analyses. Experimental results of an evaluation test for the system are summarized in Appendix A. 1200 x Type72 PMN2 900 Stone 300 y 900 700 1600 Fig. 3.13: Layout of the buried landmine models. PMN2 landmine model was buried erectly.
3.5 Experimental Results 43 Fig. 3.14: Scene of the measurement in GPR Lab., Tohoku University, Japan. 1200 1.5 X Position [mm] 1000 800 600 400 800 1000 1200 1400 1600 Y Position [mm] Fig. 3.15: Horizontal time slice at 2.4 ns acquired by VNA #1 (inner pair of the antennas). The time of 2.4 ns corresponds to a depth of 2 cm. 1 0.5 0 −0.5 −1 −1.5
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Page 3 and 4: 3.2 Development of the System 29 fo
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Page 9 and 10: 3.2 Development of the System 35 (a
Page 11 and 12: 3.3 Image Reconstruction 37 N 1 Q()
Page 13 and 14: 3.4 Quick Detection Algorithm 39 1
Page 15: 3.5 Experimental Results 41 could d
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Chapter 3: Vehicle-Mounted GPR System for Landmine Detection

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