Print Email Facebook Twitter A lossless earth Green's function representation between any two subsurface points from surface reflection GPR data Title A lossless earth Green's function representation between any two subsurface points from surface reflection GPR data Author Slob, E.C. (TU Delft Applied Geophysics and Petrophysics) Wapenaar, C.P.A. (TU Delft ImPhys/Acoustical Wavefield Imaging; TU Delft Applied Geophysics and Petrophysics) Date 2017-07-28 Abstract We present a three-dimensional scheme that can be used to compute the electromagnetic impulse response between any two subsurface points from surface reflection data measured at a single surface of a lossless medium. The scheme first computes a virtual vertical radar profile using the Marchenko scheme from which focusing wavefields are computed. With the aid of the Green's functions of the virtual vertical radar profiles these focusing wavefields are then used to compute the Green's function between any two points in the subsurface. One point is a virtual receiver and the other point is a virtual source. Virtual radar images can be created as well as the whole time evolution of the radar wave field throughout the subsurface generated by any subsurface virtual source. We show with a numerical example that the method works well in a one-dimensional configuration. Subject 3D GPRautofocusinginterferometryvirtual receivervirtual source To reference this document use: http://resolver.tudelft.nl/uuid:ee0b3190-beb4-4de6-bdc8-2a25c569dbbb DOI https://doi.org/10.1109/IWAGPR.2017.7996033 Publisher Institute of Electrical and Electronics Engineers (IEEE) ISBN 9781509054848 Source 2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings Event 9th International Workshop on Advanced Ground Penetrating Radar, 2017-06-28 → 2017-06-30, Edinburgh, United Kingdom Part of collection Institutional Repository Document type conference paper Rights © 2017 E.C. Slob, C.P.A. Wapenaar Files PDF 07996033.pdf 1.42 MB Close viewer /islandora/object/uuid:ee0b3190-beb4-4de6-bdc8-2a25c569dbbb/datastream/OBJ/view