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
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The work establishes global uniqueness for simultaneous recovery of convex obstacle geometry and impedance boundary condition from multi-frequency near-field data and introduces a direct-sampling plus optimization algorithm that avoids repeated forward solves.
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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 Obstacle Scattering from Multi-Frequency Near-Field Backscattering Data
The work establishes global uniqueness for simultaneous recovery of convex obstacle geometry and impedance boundary condition from multi-frequency near-field data and introduces a direct-sampling plus optimization algorithm that avoids repeated forward solves.