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Study on Detection Method of Thickness and Dielectric Property of Highway Based on Forward and Inverse Method
Science Discovery
Volume 5, Issue 3, June 2017, Pages: 236-243
Received: May 19, 2017; Published: May 20, 2017
Views 1431      Downloads 59
Authors
Yin De, Key Laboratory of Radiation and Detection Technology, Institute of Electronics, Chinese Academic of Sciences, Beijing, China; Academyof Electronic Information and Communication Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China
Xue Bing, Key Laboratory of Radiation and Detection Technology, Institute of Electronics, Chinese Academic of Sciences, Beijing, China; Academyof Electronic Information and Communication Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China
Fan Yao, Key Laboratory of Radiation and Detection Technology, Institute of Electronics, Chinese Academic of Sciences, Beijing, China; Academyof Electronic Information and Communication Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China
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Abstract
Highway,which is the most important transportation channel, plays a very important role in people's production and life. This paper pays attention to the current detection requirement of highway thickness and dielectric properties, based on the electromagnetic field theory and the forward and inverse method, taking advantage of ground penetrating radar to test the thickness and dielectric characteristics of highway, using 2D-FDTD to construct the forward model, a new inverse method is presented based on the forward model, the results of experiments show that the method is simple in principle, easy to use, low computational complexity and high accuracy, which has an important significance on detection of highway thickness and dielectric property.
Keywords
Forward and Inverse Method, GPR, Thickness, Dielectric Property, 2D-FDTD
To cite this article
Yin De, Xue Bing, Fan Yao, Study on Detection Method of Thickness and Dielectric Property of Highway Based on Forward and Inverse Method, Science Discovery. Vol. 5, No. 3, 2017, pp. 236-243. doi: 10.11648/j.sd.20170503.23
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