Title :
Rough thin pavement thickness estimation by GPR
Author :
Pinel, N. ; Liu, L. ; Bourlier, C. ; Wang, Y. ; Le Bastard, C.
Author_Institution :
IREENA Lab., Univ. de Nantes, Nantes, France
Abstract :
In civil engineering, usually the methods used to estimate the thickness of thin pavements consider flat interfaces for simplification. In this paper, the roughness of the surfaces is taken into account. First, the amplitudes of the first two echoes from the rough thin pavement are calculated from a rigorous electromagnetic method, the PILE method. A comparison is then made with the flat interface case, and their differences in the electromagnetic backscattering are highlighted. Eventually, the influence of the pavement roughness on the pavement thickness estimation is investigated by using the Maximum Likelihood Method.
Keywords :
backscatter; civil engineering; delay estimation; echo; electromagnetic wave scattering; ground penetrating radar; maximum likelihood estimation; road building; roads; surface roughness; GPR; PILE method; civil engineering; electromagnetic backscattering; flat interface; ground penetrating radar; maximum likelihood method; rigorous electromagnetic method; rough thin pavement thickness estimation; surface roughness; Amplitude estimation; Backscatter; Frequency; Ground penetrating radar; Maximum likelihood detection; Maximum likelihood estimation; Radar detection; Rough surfaces; Surface roughness; Surface waves; Delay estimation; Electromagnetic scattering by rough surfaces; Ground wave propagation; Nondestructive testing; Radar scattering;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417677