DocumentCode :
1105963
Title :
A Two-Step Procedure for Characterizing Obstacles Under a Rough Surface From Bistatic Measurements
Author :
Cmielewski, Octavien ; Tortel, Hervé ; Litman, Amélie ; Saillard, Marc
Author_Institution :
Marseille Univ., Marseille
Volume :
45
Issue :
9
fYear :
2007
Firstpage :
2850
Lastpage :
2858
Abstract :
A two-step electromagnetic detection procedure is proposed to characterize a dielectric obstacle buried at low depth under a rough surface from single-frequency and multistatic data. First, we have developed, in the framework of the small perturbation theory, a correlation procedure of the scattered field, which enables us to recover an estimation of the roughness profile. This method is tested for various cases with synthetic data provided by a rigorous boundary integral solver. Second, the obtained surface profile is introduced into the numerical simulation due to a finite-element code. An iterative process is then used, based on a level-set formulation, to obtain the shape of the buried target. The influence of the prior step on the accuracy of the reconstruction of the target is studied via various criteria and for different configurations.
Keywords :
boundary integral equations; buried object detection; dielectric materials; electromagnetic waves; finite element analysis; iterative methods; surface roughness; antipersonal land mine clearance; bistatic measurements; buried object detection; correlation procedure; dielectric obstacles; electromagnetic detection; finite-element code; iterative process; multistatic data; rigorous boundary integral solver; rough surface; single-frequency data; small perturbation theory; two-step procedure; Dielectric measurements; Electromagnetic measurements; Electromagnetic scattering; Finite element methods; Integral equations; Numerical simulation; Rough surfaces; Surface reconstruction; Surface roughness; Testing; Correlation; electromagnetic scattering; inverse problems; rough surfaces; shape optimization;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2007.902289
Filename :
4294087
Link To Document :
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