<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>M.H. Powers</dc:contributor>
  <dc:contributor>D.L. Wright</dc:contributor>
  <dc:contributor>G.R. Olhoeft</dc:contributor>
  <dc:creator>C.P. Oden</dc:creator>
  <dc:date>2007</dc:date>
  <dc:description>As a compact wave packet travels through a dispersive medium, it becomes dilated and distorted. As a result, ground-penetrating radar (GPR) surveys over conductive and/or lossy soils often result in poor image resolution. A dispersive migration method is presented that combines an inverse dispersion filter with frequency-domain migration. The method requires a fully characterized GPR system including the antenna response, which is a function of the local soil properties for ground-coupled antennas. The GPR system response spectrum is used to stabilize the inverse dispersion filter. Dispersive migration restores attenuated spectral components when the signal-to-noise ratio is adequate. Applying the algorithm to simulated data shows that the improved spatial resolution is significant when data are acquired with a GPR system having 120 dB or more of dynamic range, and when the medium has a loss tangent of 0.3 or more. Results also show that dispersive migration provides no significant advantage over conventional migration when the loss tangent is less than 0.3, or when using a GPR system with a small dynamic range. ?? 2007 IEEE.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1109/TGRS.2006.888933</dc:identifier>
  <dc:language>en</dc:language>
  <dc:title>Improving GPR image resolution in lossy ground using dispersive migration</dc:title>
  <dc:type>text</dc:type>
</oai_dc:dc>