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Adaptive multiscale reconstruction of buried objects

Alexandre Baussard1,3, Eric L Miller2 and Dominique Lesselier1

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In this contribution, an adaptive multiscale approach for the localization and characterization of buried objects in a half-space is proposed. The main goal of the approach is to reduce the number of elements to be estimated and so the degrees of freedom in the unknown profile. This leads to improvement of the robustness of the inversion and to an increase in the quality of reconstruction. The proposed inversion scheme is based on an adaptive, coarse-to-fine iterative strategy using spline pyramids. The global procedure consists of sequences of non-linear inversions separated by refinement steps, which overall produces an accurate, low-order representation of the sought object.


PACS

02.30.Zz Inverse problems

02.30.Lt Sequences, series, and summability

02.60.Ed Interpolation; curve fitting

02.10.De Algebraic structures and number theory

MSC

65F10 Iterative methods for linear systems (See also 65N22)

65D07 Splines

Subjects

Mathematical physics

Computational physics

Dates

Issue 6 (December 2004)

Received 25 March 2004, in final form 20 September 2004

Published 8 November 2004



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