TY - JOUR
T1 - Subsurface imaging using a handheld GPR MD system
AU - Feng, Xuan
AU - Sato, Motoyuki
AU - Liu, Cai
N1 - Funding Information:
Manuscript received September 25, 2011; revised November 11, 2011; accepted November 17, 2011. Date of publication March 2, 2012; date of current version May 7, 2012. This work was supported in part by the National Natural Science Foundation of China under Grant 40974068, by the Program for New Century Excellent Talents in University under Grant NCET-09-0415, by the Jilin University Foundation for Distinguished Young Scientists under Grant 201005006, by the National Public Benefit Scientific Research Foundation of China under Grant 201011078, and by the National Innovation Research Project for Exploration and Development of Oil Shale under Grant OSP-02 and OSR-02.
PY - 2012
Y1 - 2012
N2 - A multisensor system could offer an effective solution to land-mine detection. A handheld dual-sensor system with a position tracking system is developed, which can acquire ground-penetrating radar (GPR) and metal detector (MD) data with 2-D space coordinates. However, as the measurement points are random and data are irregular for the human operator, it is difficult to display subsurface visualization imaging. We develop a set of techniques to achieve visualization imaging of both GPR and MD. A modified migration algorithm with continuous-root-mean-square velocity is proposed to process irregular GPR data, and an interpolation algorithm is recommended to process irregular MD data. In an application to field experiment data, clear subsurface targets imaging was achieved in both GPR slice and MD image.
AB - A multisensor system could offer an effective solution to land-mine detection. A handheld dual-sensor system with a position tracking system is developed, which can acquire ground-penetrating radar (GPR) and metal detector (MD) data with 2-D space coordinates. However, as the measurement points are random and data are irregular for the human operator, it is difficult to display subsurface visualization imaging. We develop a set of techniques to achieve visualization imaging of both GPR and MD. A modified migration algorithm with continuous-root-mean-square velocity is proposed to process irregular GPR data, and an interpolation algorithm is recommended to process irregular MD data. In an application to field experiment data, clear subsurface targets imaging was achieved in both GPR slice and MD image.
KW - Ground-penetrating radar (GPR)
KW - Handheld dual sensor
KW - Irregular data
KW - Metal detector (MD)
KW - Subsurface imaging
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U2 - 10.1109/LGRS.2011.2177514
DO - 10.1109/LGRS.2011.2177514
M3 - Article
AN - SCOPUS:84862800154
SN - 1545-598X
VL - 9
SP - 659
EP - 662
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
IS - 4
M1 - 6163346
ER -