TY - GEN
T1 - Estimation of vertical velocity profile by multistatic GPR Yakumo
AU - Yi, Li
AU - Takahashi, Kazunori
AU - Sato, Motoyuki
PY - 2015/11/10
Y1 - 2015/11/10
N2 - 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.
AB - 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.
KW - Array antenna
KW - Common Mid-point (CMP)
KW - Ground Penetrating Radar (GPR)
KW - Interpolation
KW - Yakumo
KW - velocity analysis
UR - http://www.scopus.com/inward/record.url?scp=84962560020&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962560020&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2015.7325952
DO - 10.1109/IGARSS.2015.7325952
M3 - Conference contribution
AN - SCOPUS:84962560020
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1060
EP - 1063
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -