Proves local uniqueness for multi-frequency backscattering inverse scattering and develops a quantitative direct sampling reconstruction method validated by numerical experiments.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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math.NA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Hybrid rotation-equivariant neural network plus low-rank regularization solves 2D inverse medium scattering beyond the Born approximation.
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A quantitative direct sampling method for inhomogeneities from multi-frequency backscattering measurements
Proves local uniqueness for multi-frequency backscattering inverse scattering and develops a quantitative direct sampling reconstruction method validated by numerical experiments.
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Inverse scattering beyond Born approximation via rotation-equivariance-aware neural network and low-rank structure
Hybrid rotation-equivariant neural network plus low-rank regularization solves 2D inverse medium scattering beyond the Born approximation.