Three-dimensional subterranean target identification by use of optimization techniques
Author
Summary, in English
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.
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.
Publishing year
1991
Language
English
Publication/Series
Technical Report LUTEDX/(TEAT-7013)/1-20/(1991)
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Document type
Report
Publisher
[Publisher information missing]
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
- Other Electrical Engineering, Electronic Engineering, Information Engineering
Status
Published
Report number
TEAT-7013
Research group
- Electromagnetic theory