Name
Title | ||
|---|---|---|
A Neural Network Electromagnetic Approach for GPR Pavement Diagnostic: A Preliminary Study |
Abstract | ||
|---|---|---|
In this paper, a preliminary study, based on GPR data analysis by means of artificial neural networks, for automatic pavement diagnostic is addressed. The proposed solving solution models the pavement as a multi-layered medium composed of N parallel homogenous layers, which are separately analyzed through a recursive procedure able to reconstruct their permittivity and thickness. The basic processing module of the whole procedure, is here presented. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5416947 | IGARSS |
Keywords | Field | DocType |
data analysis,geophysical techniques,ground penetrating radar,neural nets,GPR data analysis,automatic pavement diagnostic,multi-layered medium,neural network electromagnetic approach,parallel homogenous layers,pavement profiling,GPR,artificial neural networks,pavement profiling | Permittivity,Ground-penetrating radar,Computer science,Remote sensing,Signal generator,Artificial neural network,Recursion | Conference |
Volume | ISSN | Citations |
1 | 2153-6996 | 0 |
PageRank | References | Authors |
0.34 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salvatore Caorsi | 1 | 40 | 8.65 |
| Mattia Stasolla | 2 | 7 | 2.42 |