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Three-dimensional subterranean target identification by use of optimization techniques

Björkberg, Jonas and Kristensson, Gerhard LU (1991) In Technical Report LUTEDX/(TEAT-7013)/1-20/(1991) TEAT-7013.
Abstract
The identification of a subterranean metallic ore from scattering experiments,

conducted on the surface of the ground or in a bore hole, is a classic geophysical

problem. In general this problem is not well-posed. However, a priori

information about the shape of the target provides enough regularization to

make the problem numerically stable. The problem is solved by minimizing

the mean-square error between an eleven parameter model, based on the

null field approach, and the data. The optimization is done with a Newton

technique in which a singular value decomposition of the model Jacobian is

employed. The algorithm is very stable to noise and makes good... (More)
The identification of a subterranean metallic ore from scattering experiments,

conducted on the surface of the ground or in a bore hole, is a classic geophysical

problem. In general this problem is not well-posed. However, a priori

information about the shape of the target provides enough regularization to

make the problem numerically stable. The problem is solved by minimizing

the mean-square error between an eleven parameter model, based on the

null field approach, and the data. The optimization is done with a Newton

technique in which a singular value decomposition of the model Jacobian is

employed. The algorithm is very stable to noise and makes good reconstructions

from feasible starting guesses, for realistically noise contaminated data. (Less)
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Book/Report
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published
subject
in
Technical Report LUTEDX/(TEAT-7013)/1-20/(1991)
volume
TEAT-7013
pages
20 pages
publisher
[Publisher information missing]
language
English
LU publication?
yes
id
23af1402-87da-44c3-9568-2a4450c998cd (old id 530201)
date added to LUP
2007-09-06 12:09:22
date last changed
2016-10-11 08:39:17
@misc{23af1402-87da-44c3-9568-2a4450c998cd,
  abstract     = {The identification of a subterranean metallic ore from scattering experiments,<br/><br>
conducted on the surface of the ground or in a bore hole, is a classic geophysical<br/><br>
problem. In general this problem is not well-posed. However, a priori<br/><br>
information about the shape of the target provides enough regularization to<br/><br>
make the problem numerically stable. The problem is solved by minimizing<br/><br>
the mean-square error between an eleven parameter model, based on the<br/><br>
null field approach, and the data. The optimization is done with a Newton<br/><br>
technique in which a singular value decomposition of the model Jacobian is<br/><br>
employed. The algorithm is very stable to noise and makes good reconstructions<br/><br>
from feasible starting guesses, for realistically noise contaminated data.},
  author       = {Björkberg, Jonas and Kristensson, Gerhard},
  language     = {eng},
  pages        = {20},
  publisher    = {ARRAY(0x3eee120)},
  series       = {Technical Report LUTEDX/(TEAT-7013)/1-20/(1991)},
  title        = {Three-dimensional subterranean target identification by use of optimization techniques},
  volume       = {TEAT-7013},
  year         = {1991},
}