Shape reconstruction of acoustic obstacle with linear sampling method and neural network

Autor: Bowen Tang, Xiaoying Yang, Lin Su
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: AIMS Mathematics, Vol 9, Iss 6, Pp 13607-13623 (2024)
Druh dokumentu: article
ISSN: 2473-6988
DOI: 10.3934/math.2024664?viewType=HTML
Popis: We consider the inverse scattering problem of reconstructing the boundary of an obstacle by using far-field data. With the plane wave as the incident wave, a priori information of the impenetrable obstacle can be obtained via the linear sampling method. We have constructed the shape parameter inversion model based on a neural network to reconstruct the obstacle. Numerical experimental results demonstrate that the model proposed in this paper is robust and performs well with a small number of observation directions.
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