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Image synthesis for inverse obstacle scattering using the eigenfunction expansion theorem

delete2004-11-15
delete6
PRE
AI
D
D. Lüke
DOI:10.1007/s00607-004-0096-9delete
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Abstract

Abstract

En 中文
In recent years several new inverse scattering techniques have been developed that determine the boundary of an unknown obstacle by reconstructing the surrounding scattered field. In the case of sound soft obstacles, the boundary is usually found as the minimum contour of the total field. In this note we derive a different approach for imaging the boundary from the reconstructed fields based on a generalization of the eigenfunction expansion theorem. The aim of this alternative approach is the construction of higher contrast images than is currently obtained with the minimum contour approach.
Keywords:
inverse problems
scattering theory
image processing
eigenfunction expansion

Journal

C
Computing
IF:
2.8
Papers:
2.3K
Citations:
3.5K

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