作者： I. Lecomte
DOI:
关键词: Mathematics 、 Fast Fourier transform 、 Point (geometry) 、 Aliasing 、 Image (mathematics) 、 Distortion 、 Scattering 、 Grid 、 Computer vision 、 Diffraction tomography 、 Artificial intelligence
摘要: Summary Local imaging obtained using a local plane-wavenumber approach of Generalized Diffraction Tomography is very similar to Synthetic Aperture Radar in spotlight-mode acquisition. A image the scattering structures around any point model calculated ray-based Green’s functions computed at that only. The cost small compared classic imaging, which needs grids functions. signal-processing inherent this FFT-based allows also powerful and flexible with full control aliasing noise filtering. images may however show two types distortions due non locally-plane incident scattered fields, velocity variations. Despite distortion effects, are not necessarily dramatic, be used many applications seismic data analysis. Among others, fast pre-study prestack depth migration for parameter adjustments, analysis via CIP gathers attractive. Furthermore, will consist into grouping family attached coarse grid Greens’ possibility interpolating these instead as usually done.