International audienceSeismic imaging is a key step in seismic exploration to retrieve the earth properties from seismic measurements at the surface. One needs to properly model the response of the earth by solving the wave equation. We present how curvelets can be used in that respect. Curvelets can be seen from the geophysical point of view as the representation of local plane waves. The unknown pressure, solution of the wave equation, is decomposed in the curvelet domain. We derive the new associated equation for the curvelet coefficients and show how to solve it. In this paper, we focus on a simple homogeneous model to illustrate the feasibility of the curvelet-based method. This is a first step towards the modeling in more complex mode...
International audienceMultiresolution methods are deeply related to image processing, biological and...
In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic ...
In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic ...
International audienceSeismic imaging is a key step in seismic exploration to retrieve the Earth pro...
International audienceWe present a new methodology towards interactive seismic imaging. A first seis...
Running head: Curvelet-based processing In this letter, the solutions to three seismic processing pr...
International audienceThis paper is a first attempt towards the migration of seismic data in the cur...
International audienceCurvelets can be seen from the geophysical point of view as the representation...
In this paper an overview is given on the application of directional basis functions, known under th...
Wavefield reconstruction is a crucial step in the seismic processing flow. For instance, unsuccessfu...
In this paper an overview is given on the application of directional basis functions, known under th...
In this paper, we recover the amplitude of a seismic image by approximating the normal (demigrationm...
In this paper, we recover the amplitude of a seismic image by approximating the normal (demigrationm...
A robust data interpolation method using curvelets frames is presented. The advantage of this method...
A robust data interpolation method using curvelets frames is presented. The advantage of this method...
International audienceMultiresolution methods are deeply related to image processing, biological and...
In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic ...
In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic ...
International audienceSeismic imaging is a key step in seismic exploration to retrieve the Earth pro...
International audienceWe present a new methodology towards interactive seismic imaging. A first seis...
Running head: Curvelet-based processing In this letter, the solutions to three seismic processing pr...
International audienceThis paper is a first attempt towards the migration of seismic data in the cur...
International audienceCurvelets can be seen from the geophysical point of view as the representation...
In this paper an overview is given on the application of directional basis functions, known under th...
Wavefield reconstruction is a crucial step in the seismic processing flow. For instance, unsuccessfu...
In this paper an overview is given on the application of directional basis functions, known under th...
In this paper, we recover the amplitude of a seismic image by approximating the normal (demigrationm...
In this paper, we recover the amplitude of a seismic image by approximating the normal (demigrationm...
A robust data interpolation method using curvelets frames is presented. The advantage of this method...
A robust data interpolation method using curvelets frames is presented. The advantage of this method...
International audienceMultiresolution methods are deeply related to image processing, biological and...
In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic ...
In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic ...