Share Email Print

Proceedings Paper

The application of pre-stack migration to SAR-GPR system for imaging of obliquely buried landmine
Author(s): Xuan Feng; Motoyuki Sato
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Ground-penetrating radar (GPR) is an effective subsurface imaging tool for solution to landmine detection, since it can detect both metal and nonmetal objects. But some times in complicated situation, for example, obliquely buried landmine will reduce its efficiency. To solve the problem, a stepped-frequency continuous-wave array antenna ground penetrating radar (SAR-GPR) system was developed. By the antenna array configuration, Common Middle Point (CMP) data can be acquired directly. Based on the CMP data, several seismic signal processing, including velocity spectrum and pre-stack migration, can be used. The velocity analysis technique based on the velocity spectrum was used here, because the velocity is required for migration. Pre-stack migration technique was used to image obliquely buried landmine in their true spatial location and physical shape in the object space. As a migration technique, pre-stack migration can also increase the signal-to-noise ratio of the survey and refocus the scattered signals. Pre-stack migration can be used by diffraction stacking based on the nonzero-offset travel time equation for a point scatterer. Amplitudes are summed along the nonzero-offset diffraction travel time trajectories. Flat ground surface and obliquely buried landmine were simulated in laboratory experiment. After the application of pre-stack migration to the CMP data acquired by SAR-GPR system, the reconstructed target image could be showed clearly.

Paper Details

Date Published: 21 September 2004
PDF: 8 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.541965
Show Author Affiliations
Xuan Feng, Tohoku Univ. (Japan)
Motoyuki Sato, Tohoku Univ. (Japan)

Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

© SPIE. Terms of Use
Back to Top