%0 Journal Article %T Adaptive multiscale reconstruction of buried objects %+ Extraction et Exploitation de l'Information en Environnements Incertains (E3I2) %+ Département STIC [Brest] (STIC) %+ Center for Subsurface Sensing and Imaging Systems %+ DRE - Département de Recherche en Electromagnétisme ; EMG - Département Electromagnétisme - L2S %A Baussard, Alexandre %A Miller, Eric %A Lesselier, Dominique %< avec comité de lecture %@ 0266-5611 %J Inverse Problems %I IOP Publishing %V 20 %N 6 %P S1-S16 %8 2004-11-08 %D 2004 %R 10.1088/0266-5611/20/6/S01 %K Inverse problems %K localization %K characterization of buried objects %K adaptive multiscale approach %K coarse-to-fine iterative strategy %K spline pyramids %Z 02.30.Zz,02.30.Lt,02.60.Ed,02.10.De %Z Engineering Sciences [physics]/Electromagnetism %Z Mathematics [math]/Mathematical Physics [math-ph]Journal articles %X 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. %G English %L hal-00637503 %U https://hal.science/hal-00637503 %~ SUPELEC %~ ENSTA-BRETAGNE %~ EC-PARIS %~ CNRS %~ UNIV-PSUD %~ SUP_LSS %~ SUP_EMG %~ ENSTA-BRETAGNE-STIC %~ INSMI %~ ENSIETA-E3I2 %~ SUP_DRE %~ TDS-MACS %~ UNIV-PARIS-SACLAY %~ UNIV-PSUD-SACLAY