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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ADGEO</journal-id>
<journal-title-group>
<journal-title>Advances in Geosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7359</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/adgeo-19-3-2008</article-id>
<title-group>
<article-title>ANN-based sub-surface monitoring technique exploiting electromagnetic features extracted by GPR signals</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Caorsi</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stasolla</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Electronics, University of Pavia, Pavia, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>11</month>
<year>2008</year>
</pub-date>
<volume>19</volume>
<fpage>3</fpage>
<lpage>9</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2008 S. Caorsi</copyright-statement>
<copyright-year>2008</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/19/3/2008/adgeo-19-3-2008.html">This article is available from https://adgeo.copernicus.org/articles/19/3/2008/adgeo-19-3-2008.html</self-uri>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/19/3/2008/adgeo-19-3-2008.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/19/3/2008/adgeo-19-3-2008.pdf</self-uri>
<abstract>
<p>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 &lt;i&gt;R&lt;/i&gt;&lt;sub&gt;&amp;Gamma;&lt;/sub&gt; 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.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple">Caorsi, S. and Cevini, G.: An electromagnetic approach based on neural networks for the GPR investigation of buried cylinders, IEEE Geosci. Rem. S., 2(1), 3–7, 2005. </mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple">Caorsi, S. and Cevini, G.: Electromagnetic reconstruction of layered geometries and multioffset data, in: Proc. of ICEAA 05, Torino, Italy, 405–408, September 2005. </mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple">Caorsi, S. and Gamba, P.: Electromagnetic detection of dielectric cylinders by a neural network approach, IEEE Trans. on Geoscience and Remote Sensing, 37(2), 820–827, 1999. </mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple">Caorsi, S., Gragnani G. L., and Pastorino, M.: Numerical eletromagnetic inverse scattering solutions for two-dimensional infinite dielectric cylinders buried in a lossy half-space, IEEE Trans. Microwave Theory Tech., 41(2), 352–356, February, 1993. </mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple"> Carin, L.: Special issue on new advances in subsurface sensing: Systems, modeling, and signal processing, IEEE T. Geosci. Remote, 39(6), 107–1339, June, 2001. </mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple"> Daniels, D. J., Gunton, D. J., and Scott, H. F.: Introduction to subsurface radar, Proc. IEE, part F, 135, 278–320, August, 1988. </mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple">Golovko, M. M.: The automatic determination of soil permittivity using the response from a subsurface local object, in Proc. of Ultrawideband and Ultrashort Impulse Signals 2004, 2nd Workshop, Sevastopol, Ukraine, 248–250, September, 2004. </mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple"> Haykin, S.: Neural Networks, A comprehensive foundation, McMillan, New York, 1994. </mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple">Hoole, S. R. H.: Artificial neural networks in the solution of inverse electromagnetic field problems, IEEE Trans. Magn., 29(2), 1931–1934, March, 1993. </mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple">Joachimovicz, N., Pichot, C., and Hugonin, J. P.: Inverse scattering: An iterative numerical method for electromagnetic imaging, IEEE Trans. Antennas Propag., 39(12), 1742–1752, December, 1991. </mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple">Kao, C.-P., Li, J., Wang, Y., Xing, H., and Liu, C. R.: Measurement of Layer Thickness and Permittivity Using a New Multilayer Model From GPR Data, IEEE T. Geosci. Remote, 45(8), 2463–2470, August, 2007. </mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple">Lambot,S., Slob, E., van den Bosch, C., Stockbroeckx, I., and Vanclooster, M.: Modeling of ground-penetrating radar for accurate characterization of subsurface electric properties, IEEE T. Geosci. Remote, 42, 2555–2568, 2004. </mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple">Mellet, J.: Ground penetrating radar applications in engineering, environmental management, and geology, J. Appl. Geophys., 33, 157–166, 1995. </mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple">Pierri, R., Soldovieri, F., Liseno, A., and De Blasio, F.: Dielectric Profiles Reconstruction via the Quadratic Approach in 2-D Geometry From Multifrequency and Multifrequency/Multiview Data, IEEE T. Geosci. Remote, 40(12), 2709–2718, 2002. </mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple"> Pozar, D. M.: Microwave engineering, Addison-Wesley Co. Inc., 1990. </mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple">Soldovieri, F., Prisco, G., and Persico, R.: Determination of soil permittivity from GPR data and a microwave tomography approach: a preliminary study, in: Proc. of IWAGPR 2007, Napoli, Italy, , 96–100, June, 2007. </mixed-citation>
</ref>
<ref id="ref17">
<label>17</label><mixed-citation publication-type="other" xlink:type="simple">Vellidis, G., Smith, M., Thomas, D., and Asmussen, L.: Detecting wetting front movement in a sandy soil with ground penetrating radar, Trans. ASAE, 33, 1867–1874, 1990. </mixed-citation>
</ref>
<ref id="ref18">
<label>18</label><mixed-citation publication-type="other" xlink:type="simple">Youn, H.-S. and Chen,C.-C.: Neural detection for buried pipes using fully-polarimetric ground penetrating radar system, in: Proc of IEEE Antennas and Propagation Society International Symposium 2003, Columbus, Ohio, Vol 2, June, 2003. </mixed-citation>
</ref>
</ref-list>
</back>
</article>