DocumentCode :
826633
Title :
Inversion of Phaseless Total Field Data Using a Two-Step Strategy Based on the Iterative Multiscaling Approach
Author :
Franceschini, Gabriele ; Donelli, Massimo ; Azaro, Renzo ; Massa, Andrea
Author_Institution :
Dept. of Inf. & Commun. Technol., Trento Univ.
Volume :
44
Issue :
12
fYear :
2006
Firstpage :
3527
Lastpage :
3539
Abstract :
In this paper, a new approach for the quantitative electromagnetic imaging of unknown scatterers located in free space from amplitude-only measurements of the total field is proposed and discussed. The reconstruction procedure splits the problem into two steps. The method is based on the use of an inverse source algorithm to first complete the scattering data by estimating the distribution of the radiated field in the investigation domain. The object\´s function profile is then retrieved from the phaseless data via an iterative multiresolution procedure integrated with an effective minimization technique based on the particle swarm algorithm. Numerical examples are provided to assess the effectiveness of the whole two-step strategy in the presence of synthetic noise-corrupted data as well as in dealing with experimental data sets. Comparisons with full-data and "bare" approaches are reported as well
Keywords :
geophysical techniques; image reconstruction; minimisation; particle swarm optimisation; inverse source algorithm; iterative multiresolution procedure; iterative multiscaling approach; minimization technique; particle swarm algorithm; quantitative electromagnetic imaging; Electromagnetic fields; Electromagnetic measurements; Electromagnetic scattering; Extraterrestrial measurements; Image reconstruction; Information retrieval; Iterative algorithms; Iterative methods; Minimization methods; Particle scattering; Electromagnetic imaging; integrated multiscaling approach; inverse scattering; particle swarm optimizer (PSO); phaseless data (PD);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2006.881753
Filename :
4014315
Link To Document :
بازگشت