Shape reconstruction of acoustic obstacle with linear sampling method and neural network-Reference-Cited by-同舟云学术

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

Published:2024 Issue:6 Volume:9 Page:13607-13623
ISSN:2473-6988
Container-title:AIMS Mathematics
language:
Short-container-title:MATH

Author:

Tang Bowen¹,Yang Xiaoying¹,Su Lin²

Affiliation:

1. School of Mathematics and Statistics, Changchun University of Technology, 3000. Beiyuanda Ave, Changchun, Jilin 130000, China

2. Wuxi Weintdata Technology Co. Ltd, 2. Longshan Rd, Wuxi, Jiangsu 214000, China

Abstract

<abstract><p>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.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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