DocumentCode
82012
Title
Ground Clutter Removal in GPR Surveys
Author
Solimene, Raffaele ; Cuccaro, Antonio ; Dell´Aversano, A. ; Catapano, I. ; Soldovieri, Francesco
Author_Institution
Dipt. di Ing. Ind. e dell´Inf., Seconda Univ. di Napoli, Aversa, Italy
Volume
7
Issue
3
fYear
2014
fDate
Mar-14
Firstpage
792
Lastpage
798
Abstract
In GPR prospecting, strong reflections due to the background material interface can hinder the detection of localized buried scatterers, especially when the targets are close (in terms of probing wavelength) to the interface. Moreover, signals due to objects located outside the investigated domain and occurring in the observation time window may dramatically affect the reliability of the results. In order to mitigate such kind of clutter, an entropy based approach has been recently proposed in the frame of intra-wall diagnostic. In this paper, we assess the performance of such an approach by processing experimental data collected in laboratory controlled conditions and referred for the challenging situation of shallower dielectric and metallic targets, whose back-scattered fields overlap in time with the air-soil interface signal. In addition, a performance comparison of the proposed method is performed with other two approaches, i.e., the mean subtraction method and the subspace projection procedure.
Keywords
entropy; ground penetrating radar; interference suppression; object detection; radar clutter; radar detection; reliability; GPR survey; air-soil interface signal; background material interface; backscattered field; entropy based approach; ground clutter removal; intrawall frame diagnostics; localized buried scatterer detection; mean subtraction method; metallic target situation; reliability; shallower dielectric situation; subspace projection procedure; Antenna measurements; Antennas; Clutter; Entropy; Ground penetrating radar; Sensors; Vectors; Entropy based approach; GPR prospecting; filtering methods; ground clutter removal; microwave tomography;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2013.2287016
Filename
6656006
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