We present a method, derived from inverse scattering theory, for imaging and amplitude correction from measured data. No knowledge about the medium under investigation is assumed. Although derived from, and as a series, the algorithm is shown to converge to a closed form independent of the parameters involved in the problem. An analytic example shows excellent results in finding both the location of interfaces and the amplitude of acoustic reflections
The inverse scattering series (ISS) is a comprehensive multidimensional theory for processing and in...
Using only surface reflection data and first-arrival information, we generate the incoming and outgo...
Traditionally redatuming algorithms disregard amplitude information carried by seismic reflections, ...
We present a method, derived from inverse scattering theory, for imaging and amplitude correction fr...
In this paper we describe the steps for testing a seismic imaging method derived from inverse scatte...
The goal of reflection seismic imaging is making images of the Earth subsurface using surface measur...
Extracting information from seismic data requires knowledge of seismic wave propagation and reflecti...
This thesis implements various numerical algorithms used for acoustic imaging of layered media: the ...
The work covers physical sense, practical realizability and applicability limits of mathematical met...
Conventional imaging algorithms assume single scattering and therefore cannot image multiply scatter...
The inverse scattering problem is inherently nonlinear and improperly posed. Relevant study, such as...
An efficient iterative method is discussed for solving the 3-D nonlinear seismic inverse problem. Th...
In this paper we use methods from partial differential equations, in particular microlocal analysis ...
Imaging with seismic data is typically done under the assumption of single scattering. Here we formu...
In this thesis we investigate some mathematical questions related to the inversion of seismic data. ...
The inverse scattering series (ISS) is a comprehensive multidimensional theory for processing and in...
Using only surface reflection data and first-arrival information, we generate the incoming and outgo...
Traditionally redatuming algorithms disregard amplitude information carried by seismic reflections, ...
We present a method, derived from inverse scattering theory, for imaging and amplitude correction fr...
In this paper we describe the steps for testing a seismic imaging method derived from inverse scatte...
The goal of reflection seismic imaging is making images of the Earth subsurface using surface measur...
Extracting information from seismic data requires knowledge of seismic wave propagation and reflecti...
This thesis implements various numerical algorithms used for acoustic imaging of layered media: the ...
The work covers physical sense, practical realizability and applicability limits of mathematical met...
Conventional imaging algorithms assume single scattering and therefore cannot image multiply scatter...
The inverse scattering problem is inherently nonlinear and improperly posed. Relevant study, such as...
An efficient iterative method is discussed for solving the 3-D nonlinear seismic inverse problem. Th...
In this paper we use methods from partial differential equations, in particular microlocal analysis ...
Imaging with seismic data is typically done under the assumption of single scattering. Here we formu...
In this thesis we investigate some mathematical questions related to the inversion of seismic data. ...
The inverse scattering series (ISS) is a comprehensive multidimensional theory for processing and in...
Using only surface reflection data and first-arrival information, we generate the incoming and outgo...
Traditionally redatuming algorithms disregard amplitude information carried by seismic reflections, ...