TY - GEN
T1 - Interpolation using the Kirchhoff migration integral for visualization of an irregular GPR data
AU - Feng, Xuan
AU - Liu, Cai
AU - Sato, Motoyuki
N1 - Funding Information:
This work was supported by JST (Japan Science and Technology Corporation) and JSPS Grant-in Aid for Scientific Research (S) 14102024.
Publisher Copyright:
© 2007 Society of Exploration Geophysicists. All rights reserved.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85055709605
SN - 9781604238976
T3 - Society of Exploration Geophysicists - 77th SEG International Exposition and Annual Meeting, SEG 2007
SP - 1152
EP - 1156
BT - Society of Exploration Geophysicists - 77th SEG International Exposition and Annual Meeting, SEG 2007
PB - Society of Exploration Geophysicists
T2 - 77th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2007
Y2 - 23 September 2007 through 26 September 2007
ER -