A linear MMV-based inverse scattering model with joint sparsity regularization is introduced for single-frequency imaging of highly conductive objects, showing higher resolution than linear sampling methods on synthetic and Fresnel data.
Multifrequency particle swarm optimiza- tion for enhanced multiresolution GPR microwave imaging
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Multi-frequency CC-CSI outperforms MR-CSI for reconstructing complicated scatterers from TM and TE electromagnetic data in both simulations and experiments.
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A Linear Model for Microwave Imaging of Highly Conductive Scatterers
A linear MMV-based inverse scattering model with joint sparsity regularization is introduced for single-frequency imaging of highly conductive objects, showing higher resolution than linear sampling methods on synthetic and Fresnel data.
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Inversion of Multi-frequency Data with the Cross-Correlated Contrast Source Inversion Method
Multi-frequency CC-CSI outperforms MR-CSI for reconstructing complicated scatterers from TM and TE electromagnetic data in both simulations and experiments.