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Cross-correlated contrast source inversion
In this paper, we improved the performance of the contrast source inversion (CSI) method by
incorporating a so-called cross-correlated cost functional, which interrelates the state error …
incorporating a so-called cross-correlated cost functional, which interrelates the state error …
Linearized 3-D electromagnetic contrast source inversion and its applications to half-space configurations
S Sun, BJ Kooij, AG Yarovoy - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
One of the main computational drawbacks in the application of 3-D iterative inversion
techniques is the requirement of solving the field quantities for the updated contrast in every …
techniques is the requirement of solving the field quantities for the updated contrast in every …
Cross-Correlated Subspace-Based Optimization Method for Solving Electromagnetic Inverse Scattering Problems
M Wang, S Sun, D Dai, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article, we have improved the quantitative inversion performance of the cross-
correlated contrast source inversion (CC-CSI) method by incorporating the subspace …
correlated contrast source inversion (CC-CSI) method by incorporating the subspace …
A fast level set method for multimaterial recovery in microwave imaging
P Shah, M Moghaddam - IEEE Transactions on Antennas and …, 2018 - ieeexplore.ieee.org
Level set-based methods for microwave imaging can produce better results than linearized
approaches but they are usually very slow because they require many iterations of a forward …
approaches but they are usually very slow because they require many iterations of a forward …
Three-Dimensional Microwave Imaging in Banach Spaces: Numerical and Experimental Results
In this paper, a microwave imaging method able to inspect three-dimensional configurations
is proposed. The approach is developed in L Banach spaces, and allows to suitably face the …
is proposed. The approach is developed in L Banach spaces, and allows to suitably face the …
A linear model for microwave imaging of highly conductive scatterers
S Sun, BJ Kooij, AG Yarovoy - IEEE Transactions on Microwave …, 2017 - ieeexplore.ieee.org
In this paper, a linear model based on multiple measurement vectors' model is proposed to
formulate the inverse scattering problem of highly conductive objects at one single …
formulate the inverse scattering problem of highly conductive objects at one single …
A Banach space regularization approach for multifrequency microwave imaging
A method for microwave imaging of dielectric targets is proposed. It is based on a
tomographic approach in which the field scattered by an unknown target (and collected in a …
tomographic approach in which the field scattered by an unknown target (and collected in a …
A hybrid quantitative method for inverse scattering of multiple dielectric objects
M Rabbani, A Tavakoli… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A hybrid method is proposed to locate the boundaries and determine the dielectric constants
of multiple homogeneous scatterers by postprocessing the results of the linear sampling …
of multiple homogeneous scatterers by postprocessing the results of the linear sampling …
3-D level set method for joint contrast and shape recovery in microwave imaging
P Shah, G Chen, J Stang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a three-dimensional (3-D) fast level set method, which can estimate both object
shape and dielectric contrast with reduced computational cost. In prior work, we presented a …
shape and dielectric contrast with reduced computational cost. In prior work, we presented a …
A Three‐Dimensional Microwave Sparse Imaging Approach Using Higher‐Order Basis Functions
N Vojnovic, L Crocco… - International Journal of …, 2022 - Wiley Online Library
This paper presents a novel method for three‐dimensional microwave imaging based on
sparse processing. To enforce the sparsity of the unknown function, we take advantage of …
sparse processing. To enforce the sparsity of the unknown function, we take advantage of …