DETECTION OF VOIDS IN KARST TERRAIN WITH FULL WAVEFORM TOMOGRAPHY

(2009), the full waveform inversion (FWI) approach offers the potential to produce higher resolution images of the subsurface by extracting information contained in the complete waveforms rather than approaches using only the dispersive properties of Rayleigh waves or first-arrival signals. Nasseri-Moghaddama et al. (2007), for example, have clearly shown that the recorded responses at the surface can carry valuable information regarding the presence and characterization of anomalies, e.g., voids, below the surface. However, FWI is computationally intensive, requiring a full solution of the governing wave equation. Many algorithms for waveform inversion have been developed and applied to synthetic and real seismic data in large-scale (kilometer-scale) domain