Interpolation using the Kirchhoff migration integral for visualization of an irregular GPR data

Xuan Feng, Cai Liu, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A handheld multi-sensor system, including GPR, is an effective solution for landmine detection. But it is difficult to show the visualization images because of the irregular measurement data acquired by human being operator. To deal with the problem, an interpolation is a common choice to create grid data set. But generally the common interpolation algorithms can not offer the good signal-clutter ratio in a complicated situation, although it can offer grid data set for visualization. Also the common 3-D interpolation algorithms consume a lot of processing time. Here we propose a 2.5-D interpolation algorithm that uses the Kirchhoff migration integral to produce a nonlinear interpolating polynomial. Comparing with common linear interpolation and cubic interpolation, the new algorithm can achieve the better results. Also the algorithm is faster than common 3-D interpolation algorithm. Lastly, the algorithm was applied to the real measurement data set and got high quality images.

Original languageEnglish
Title of host publicationSociety of Exploration Geophysicists - 77th SEG International Exposition and Annual Meeting, SEG 2007
PublisherSociety of Exploration Geophysicists
Pages1152-1156
Number of pages5
ISBN (Print)9781604238976
Publication statusPublished - 2007
Event77th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2007 - San Antonio, United States
Duration: 2007 Sep 232007 Sep 26

Publication series

NameSociety of Exploration Geophysicists - 77th SEG International Exposition and Annual Meeting, SEG 2007

Other

Other77th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2007
CountryUnited States
CitySan Antonio
Period07/9/2307/9/26

ASJC Scopus subject areas

  • Geophysics

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