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Ann-based Sub-surface Monitoring Technique Exploiting Electromagnetic Features Extracted by Gpr Signals : Volume 19, Issue 19 (14/11/2008)

By Caorsi, S.

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Book Id: WPLBN0003998780
Format Type: PDF Article :
File Size: Pages 7
Reproduction Date: 2015

Title: Ann-based Sub-surface Monitoring Technique Exploiting Electromagnetic Features Extracted by Gpr Signals : Volume 19, Issue 19 (14/11/2008)  
Author: Caorsi, S.
Volume: Vol. 19, Issue 19
Language: English
Subject: Science, Advances, Geosciences
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Caorsi, S., & Stasolla, M. (2008). Ann-based Sub-surface Monitoring Technique Exploiting Electromagnetic Features Extracted by Gpr Signals : Volume 19, Issue 19 (14/11/2008). Retrieved from

Description: Department of Electronics, University of Pavia, Pavia, Italy. In this work we consider the problem of determining the dielectric characteristics of sub-surface layers by means of GPR systems. In particular, a suitable electromagnetic feature (the RΓ parameter), strictly related to the geophysical parameters of the scenario, is first extracted from the GPR e.m. signal and then fed to an artificial neural network (ANN) in order to derive the dielectric permittivity of the sub-surface layer.

ANN-based sub-surface monitoring technique exploiting electromagnetic features extracted by GPR signals

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