The Kirsch-Kress method for inverse scattering by infinite locally rough interfaces
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Publication:2965789
DOI10.1080/00036811.2016.1192141zbMath1364.35223OpenAlexW2528880411WikidataQ58283227 ScholiaQ58283227MaRDI QIDQ2965789
Bo Zhang, Jianliang Li, Guanying Sun
Publication date: 3 March 2017
Published in: Applicable Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00036811.2016.1192141
Helmholtz equationtransmission probleminverse scatteringlocally rough interfacethe Kirsch-Kress approach
Scattering theory for PDEs (35P25) Inverse problems for PDEs (35R30) Numerical methods for inverse problems for integral equations (65R32) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46) Inverse problems for integral equations (45Q05)
Related Items (14)
Simultaneous recovery of a locally rough interface and the embedded obstacle with its surrounding medium ⋮ A non-iterative sampling method for inverse elastic wave scattering by rough surfaces ⋮ Near-field imaging of sound-soft obstacles in periodic waveguides ⋮ Detecting buried wave-penetrable scatterers in a two-layered medium ⋮ Near-Field Imaging of an Unbounded Elastic Rough Surface with a Direct Imaging Method ⋮ A linear sampling method for inverse acoustic scattering by a locally rough interface ⋮ Inverse Obstacle Scattering in an Unbounded Structure ⋮ A Direct Imaging Method for Inverse Scattering by Unbounded Rough Surfaces ⋮ A Novel Integral Equation for Scattering by Locally Rough Surfaces and Application to the Inverse Problem: The Neumann Case ⋮ Recovering unbounded rough surfaces with a direct imaging method ⋮ Simultaneous recovery of an infinite rough surface and the impedance from near-field data ⋮ Uniqueness and Direct Imaging Method for Inverse Scattering by Locally Rough Surfaces with Phaseless Near-Field Data ⋮ Recovery of an infinite rough surface by a nonlinear integral equation method from phaseless near-field data ⋮ Imaging of Local Rough Surfaces by the Linear Sampling Method with Near-Field Data
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