A linearized cascade of two linear functionals combined with sum-of-l1-norm optimization enables efficient 3D EM contrast source inversion for half-space problems by computing total fields only once.
The linear sampling method as a way to quantitative inverse scattering
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A GMMV-based iterative linear method with cross-validation for TM electromagnetic shape reconstruction shows better focusing than the linear sampling method on experimental data.
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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Linearized 3-D Electromagnetic Contrast Source Inversion and Its Applications to Half-space Configurations
A linearized cascade of two linear functionals combined with sum-of-l1-norm optimization enables efficient 3D EM contrast source inversion for half-space problems by computing total fields only once.
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A Linear Method for Shape Reconstruction based on the Generalized Multiple Measurement Vectors Model
A GMMV-based iterative linear method with cross-validation for TM electromagnetic shape reconstruction shows better focusing than the linear sampling method on experimental 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.