Estimation of vertical velocity profile by multistatic GPR Yakumo

Li Yi, Kazunori Takahashi, Motoyuki Sato

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

We investigated a velocity analysis algorithm for the new array Ground Penetrating Radar (GPR) system 'Yakumo'. The common mid-point (CMP) data, which is used to estimate the vertical profile of subsurface velocity can be acquired easily with this system. However, each CMP data set acquired by Yakumo includes only 8 GPR traces with more than 20 cm trace interval. In order to estimate the velocity with this sparse GPR data, we proposed a reversible normal move-out (NMO) processing to remove aliasing and to interpolate the data with a new iterative f-k domain interpolation method to reconstruct the dense data before the velocity analysis. The proposed processing algorithm is applied to both the simulated and the measured data. With the CMP data acquired by 100 MHz antennas, the re-sampled data with more than 0.5 m gaps can still be well interpolated. And the artifacts in the velocity spectrum caused by the noise were well suppressed. We also applied the process to Yakumo CMP data and the estimated the velocity profile in a sandpit. Comparing to the velocity measured by Time Domain reflectometer (TDR), the error was less than 10%. With Yakumo system, we can obtain the CMP data together with the three dimensional GPR data, which greatly benefit the data acquisition.

本文言語English
ホスト出版物のタイトル2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1060-1063
ページ数4
ISBN(電子版)9781479979295
DOI
出版ステータスPublished - 2015 11 10
イベントIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
継続期間: 2015 7 262015 7 31

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)
2015-November

Other

OtherIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
国/地域Italy
CityMilan
Period15/7/2615/7/31

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 地球惑星科学(全般)

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