A Newton method for simultaneous reconstruction of an interface and a buried obstacle from far-field data
Haiwen Zhang, Bo Zhang

TL;DR
This paper introduces a Newton-based iterative method for reconstructing both an interface and a buried obstacle in acoustic scattering problems using far-field data, without prior knowledge of boundary conditions.
Contribution
The method allows simultaneous reconstruction of the interface and obstacle, and can determine boundary conditions without prior information, advancing inverse scattering techniques.
Findings
Effective reconstruction demonstrated with multi-frequency data
Method does not require prior boundary condition knowledge
Numerical examples confirm robustness and accuracy
Abstract
This paper is concerned with the inverse problem of scattering of time-harmonic acoustic waves from a penetrable and buried obstacles. By introducing a related transmission scattering problem, a Newton iteration method is proposed to simultaneously reconstruct both the penetrable interface and the buried obstacle inside from far-field data. A main feature of our method is that we do not need to know the type of boundary conditions on the buried obstacle. In particular, the boundary condition on the buried obstacle can also be determined simultaneously by the method. Finally, numerical examples using multi-frequency data are carried out to illustrate the effectiveness of our method.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
