Name
Abstract | ||
|---|---|---|
As multicomponent processing is a challenge in many fields such as geophysics, seismology, remote sensing, or electromagnetics, a method that could be used to filter multispectral, multicomponent, or multidimensional data is proposed. In this paper, the method, called multicomponent wideband spectral-matrix filtering (MC-WBSMF), is applied on geophysical data to separate interfering wavefields. The technique is based on the decomposition of a special multicomponent spectral matrix and could extract a given wavefield from a multicomponent dataset. MC-WBSMF is compared to two classical single-component seismic methods (the 2D-Fourier transform or f-k filter and the Radon transform) and to a fully multicomponent method based on singular value decomposition. Finally, MC-WBSMF is tested on a real geophysical subsurface dataset in order to remove surface waves and to enhance reflected waves |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TGRS.2006.872092 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
filters,geophysical signal processing,geophysical techniques,remote sensing,seismology,source separation,2D-Fourier transform,MC-WBSMF,Radon transform,electromagnetics,f-k filter,geophysical data processing,multicomponent filters,multicomponent spectral matrix,multicomponent wideband spectral-matrix filtering,remote sensing,seismology,singular value decomposition,surface waves,wavefield filter,Geophysical array data,multicomponent processing,wavefield filters | Singular value decomposition,Data processing,Electromagnetics,Multispectral image,Remote sensing,Filter (signal processing),Fourier transform,Radon transform,Mathematics,Source separation,Geophysics | Journal |
Volume | Issue | ISSN |
44 | 8 | 0196-2892 |
Citations | PageRank | References |
4 | 0.49 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulus, C. | 1 | 4 | 0.49 |
| J.I. Mars | 2 | 161 | 14.94 |