NANAApr 16, 2018

Near-field imaging of an unbounded elastic rough surface with a direct imaging method

arXiv:1804.054969 citationsh-index: 14
AI Analysis

It provides a fast and robust imaging technique for inverse elastic scattering problems involving unbounded rough surfaces, which is relevant for non-destructive testing and geophysics.

The paper develops a direct imaging method for reconstructing an unbounded rigid rough surface from near-field elastic wave data, demonstrating fast, accurate, and noise-robust performance through numerical experiments.

This paper is concerned with the inverse scattering problem of time-harmonic elastic waves by an unbounded rigid rough surface. A direct imaging method is developed to reconstruct the unbounded rough surface from the elastic scattered near-field Cauchy data generated by point sources. A Helmholtz-Kirchhoff-type identity is derived and then used to provide a theoretical analysis of the direct imaging algorithm. Numerical experiments are presented to show that the direct imaging algorithm is fast, accurate and robust with respect to noise in the data.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes