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| | Abstract | | GPR (ground-penetrating radar) has polarization reflection characteristics, and these characteristics are contributed to detect buried pipes, lines, etc. In the processing of GPR data, scalar imaging algorithms (the synthetic-aperture radar method, the Gazdag phase-shift method, etc.) are generally used. However, these migration methods do not consider polarization reflection characteristics. Migration methods which fully consider these characteristics are developing now. It assumes that these migration methods can get clearer subsurface image. In the present study, we try to apply multi-component migration to the dataset which is made by FDTD simulation. |
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