DocumentCode
1740986
Title
Imaging near-surface buried structure with high-resolution surface-wave group-velocity tomography
Author
Martin, Jegrey ; Kubota, Toshiro ; Long, L. Timothy
Author_Institution
Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA
Volume
2
fYear
2000
fDate
10-13 Sept. 2000
Firstpage
641
Abstract
Often costs or hazardous conditions prohibit geophysical measurements within the survey area. Surface-wave tomography can be a practical method of imaging the near surface shear-wave velocity structure. We demonstrate that this method can resolve meter-size objects. Surface-wave group-velocity travel times along ray-paths through the survey area are determined as a function of frequency by using the "multiple filter" technique of seismic surface-wave analysis. The spatial distribution of group velocities are calculated from the tomographic inversion of the group travel times. Dispersion curves are generated for a selected portion of the survey area and inverted to give shear-wave velocity structure as a function of depth. The buried objects and the disturbance caused by digging are associated with a depression in the shear-wave velocity.
Keywords
buried object detection; elastic waves; geophysical signal processing; image resolution; tomography; costs; dispersion curves; geophysical measurements; group travel times; group velocities; group-velocity tomography; hazardous conditions; high-resolution surface-wave tomography; meter-size object resolution; multiple filter technique; near-surface buried structure imaging; seismic surface-wave analysis; shear-wave velocity; shear-wave velocity structure; spatial distribution; survey area; tomographic inversion; Area measurement; Buried object detection; Computer science; Costs; Frequency; Geophysical measurements; High-resolution imaging; Seismic measurements; Surface waves; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC, Canada
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899790
Filename
899790
Link To Document