Subsurface Imaging Using a Handheld GPR MD System

被引：24

作者：

Feng, Xuan ^{[1
]}

Sato, Motoyuki ^{[2
]}

Liu, Cai ^{[1
]}

机构：

[1] Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130026, Peoples R China

[2] Tohoku Univ, Ctr NE Asia Studies, Sendai, Miyagi 9808576, Japan

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2012年 / 9卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Ground-penetrating radar (GPR); handheld dual sensor; irregular data; metal detector (MD); subsurface imaging; INTERPOLATION; MIGRATION;

D O I：

10.1109/LGRS.2011.2177514

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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.

引用

页码：659 / 662

页数：4

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