Paper
10 June 2005 Estimation of ground surface topography and velocity model by SAR-GPR and its application to landmine detection
Author Affiliations +
Abstract
The height variation of ground surface and incorrect velocity will affect imaging processing of landmine. To eliminate these effects, ground surface topography and velocity model are needed. For effective detection of landmines, a stepped-frequency continuous-wave array antenna ground penetrating radar system, called SAR-GPR, was developed. Based on multi-offset common middle point (CMP) data acquired by SAR-GPR, we describe a velocity model estimation method using velocity spectrum technique. Also after pre-stack migration, the ground surface can be identified clearly. To compensate landmine imaging for the effect created by height variation, the ground surface displacement, a kind of static correction technique, is used based on the information of ground surface topography and velocity model. To solve the problem of incorrect velocity, we present a continuous variable root-mean-square velocity based on the velocity model. The velocity is used in normal moveout correction (NMO) to adjust the time delay of multi-offset data, and also applied to migration for reconstruction of landmine image. After the application of ground surface topography and velocity model to data processing, we could obtain good landmine images in experiment.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuan Feng, Zheng-shu Zhou, Takao Kobayashi, Timofei G. Savelyev, Jun Fujiwara, and Motoyuki Sato "Estimation of ground surface topography and velocity model by SAR-GPR and its application to landmine detection", Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); https://doi.org/10.1117/12.603235
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Cited by 3 scholarly publications.
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KEYWORDS
Land mines

Chemical mechanical planarization

Antennas

3D modeling

Data modeling

Data acquisition

Image processing

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