Locating Multiple Multi-scale Electromagnetic Scatterers by A Single Far-field Measurement
Jingzhi Li, Hongyu Liu, Qi Wang

TL;DR
This paper advances electromagnetic scatterer localization by developing practical, multi-scale imaging schemes that require minimal prior knowledge, utilizing single and multiple far-field measurements with improved robustness and accuracy.
Contribution
It extends existing inverse scattering methods to locate multi-scale EM scatterers without prior shape or orientation knowledge, introducing a local re-sampling technique and multi-measurement strategies.
Findings
Effective localization of multi-scale scatterers demonstrated
Improved robustness with additional measurements
Mathematically justified and numerically validated methods
Abstract
Two inverse scattering schemes were recently developed in \cite{LiLiuShangSun} for locating multiple electromagnetic (EM) scatterers, respectively, of small size and regular size compared to the detecting EM wavelength. Both schemes make use of a single far-field measurement. The scheme of locating regular-size scatterers requires the {\it a priori} knowledge of the possible shapes, orientations and sizes of the underlying scatterer components. In this paper, we extend that imaging scheme to a much more practical setting by relaxing the requirement on the orientations and sizes. We also develop an imaging scheme of locating multiple multi-scale EM scatterers, which may include at the same time, both components of regular size and small size. For the second scheme, a novel local re-sampling technique is developed. Furthermore, more robust and accurate reconstruction can be achieved for…
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.
Taxonomy
TopicsMicrowave Imaging and Scattering Analysis · Numerical methods in inverse problems · Geophysical Methods and Applications
