Phaseless inverse scattering for rough surface recovery at a single receiver

We present a reconstruction algorithm for recovering rough surface profiles from phaseless total field data measured at a single receiver as the surface undergoes controlled lateral motion. The algorithm is based on the parabolic wave equation, which offers a computationally efficient framework for forward and inverse scattering, and applies to both Dirichlet (TE polarization) and Neumann (TM polarization) boundary conditions. It operates in a marching fashion, recovering surface points sequentially along the profile. Numerical experiments demonstrate that the method yields accurate reconstructions and remains robust under measurement noise and variations in key problem parameters. The proposed approach provides a reliable and efficient tool for surface characterization in engineering applications such as non-destructive testing and remote sensing.

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Publication Details

Journal
Journal of the Optical Society of America A
Published
2026-03-31
DOI
https://doi.org/10.1364/josaa.590051
Primary Topic
Optical Coatings and Gratings
Type
article
Field-Weighted Citation Impact
0.00

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article

Phaseless inverse scattering for rough surface recovery at a single receiver

Orsola Rath Spivack, Mark Spivack, Yuxuan Chen
Journal of the Optical Society of America A
Optical Coatings and Gratings
article

Phaseless inverse scattering for rough surface recovery at a single receiver

Orsola Rath Spivack, Mark Spivack, Yuxuan Chen
article en

Abstract

We present a reconstruction algorithm for recovering rough surface profiles from phaseless total field data measured at a single receiver as the surface undergoes controlled lateral motion. The algorithm is based on the parabolic wave equation, which offers a computationally efficient framework for forward and inverse scattering, and applies to both Dirichlet (TE polarization) and Neumann (TM polarization) boundary conditions. It operates in a marching fashion, recovering surface points sequentially along the profile. Numerical experiments demonstrate that the method yields accurate reconstructions and remains robust under measurement noise and variations in key problem parameters. The proposed approach provides a reliable and efficient tool for surface characterization in engineering applications such as non-destructive testing and remote sensing.

Journal of the Optical Society of America AVol. 43(5)
University of Cambridge (GB)
Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 27%
Optical Coatings and Gratings
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