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Analysis of the stability and robustness of the iterative multiscaling approach for microwave imaging applications
Author(s) -
Caorsi Salvatore,
Donelli Massimo,
Massa Andrea
Publication year - 2004
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2003rs002966
Subject(s) - robustness (evolution) , microwave imaging , computer science , iterative method , inverse problem , noise (video) , stability (learning theory) , iterative reconstruction , experimental data , microwave , algorithm , acoustics , mathematics , artificial intelligence , machine learning , physics , image (mathematics) , mathematical analysis , statistics , telecommunications , biochemistry , chemistry , gene
In a reconstruction procedure based on the iterative solution of inverse scattering integral equations, the quality of the final image depends on both the numerical and experimental noise. Numerical noise is related to the accuracy of the numerical representation of the microwave imaging apparatus and system geometry. Experimental noise refers to the nonideal electromagnetic conditions in which the data acquisition is performed. This paper provides a systematic evaluation of the impact of the most significant sources of numerical and experimental noise on the reconstruction quality when the Iterative Multiscaling Approach (IMSA) is used. The assessment of the robustness and stability of the IMSA is carried out by considering synthetic as well as real data. The achieved results provide detailed indications on the range of applicability of the IMSA for qualitative and/or quantitative imaging purposes.