Solving Electromagnetic Scattering from 3-D Scatterers with Incomplete Profiles by Deep Learning

Ji Yuan Wang; Zhi Yuan Chen; Liang Zhang; Xin Yue Lou; Yun Chuan Wang; Chen Tao Zhao; Xiao Min Pan

doi:10.1109/ICCEM68495.2026.11628900

Solving Electromagnetic Scattering from 3-D Scatterers with Incomplete Profiles by Deep Learning

Ji Yuan Wang
, Zhi Yuan Chen
, Liang Zhang
, Xin Yue Lou
, Yun Chuan Wang
, Chen Tao Zhao
, Xiao Min Pan^*

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

A deep learning (DL)-based scheme is proposed to solve electromagnetic (EM) scattering from a three-dimensional (3-D) dielectric scatterer whose profile is incomplete. As compensation, a limited amount of scattering data can be acquired. The measurement data from the Fresnel database are employed to validate the proposed scheme.

源语言	英语
期刊	IEEE International Conference on Computational Electromagnetics, ICCEM
期	2026
DOI	https://doi.org/10.1109/ICCEM68495.2026.11628900
出版状态	已出版 - 2026
已对外发布	是
活动	2026 IEEE International Conference on Computational Electromagnetics, ICCEM 2026 - Shanghai, 中国期限: 10 4月 2026 → 12 4月 2026

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10.1109/ICCEM68495.2026.11628900

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title = "Solving Electromagnetic Scattering from 3-D Scatterers with Incomplete Profiles by Deep Learning",

abstract = "A deep learning (DL)-based scheme is proposed to solve electromagnetic (EM) scattering from a three-dimensional (3-D) dielectric scatterer whose profile is incomplete. As compensation, a limited amount of scattering data can be acquired. The measurement data from the Fresnel database are employed to validate the proposed scheme.",

keywords = "deep learning (DL), Electromagnetic (EM) scattering, EM inverse scattering",

author = "Wang, \{Ji Yuan\} and Chen, \{Zhi Yuan\} and Liang Zhang and Lou, \{Xin Yue\} and Wang, \{Yun Chuan\} and Zhao, \{Chen Tao\} and Pan, \{Xiao Min\}",

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T1 - Solving Electromagnetic Scattering from 3-D Scatterers with Incomplete Profiles by Deep Learning

AU - Wang, Ji Yuan

AU - Chen, Zhi Yuan

AU - Zhang, Liang

AU - Lou, Xin Yue

AU - Wang, Yun Chuan

AU - Zhao, Chen Tao

AU - Pan, Xiao Min

PY - 2026

Y1 - 2026

N2 - A deep learning (DL)-based scheme is proposed to solve electromagnetic (EM) scattering from a three-dimensional (3-D) dielectric scatterer whose profile is incomplete. As compensation, a limited amount of scattering data can be acquired. The measurement data from the Fresnel database are employed to validate the proposed scheme.

AB - A deep learning (DL)-based scheme is proposed to solve electromagnetic (EM) scattering from a three-dimensional (3-D) dielectric scatterer whose profile is incomplete. As compensation, a limited amount of scattering data can be acquired. The measurement data from the Fresnel database are employed to validate the proposed scheme.

KW - deep learning (DL)

KW - Electromagnetic (EM) scattering

KW - EM inverse scattering

UR - https://www.scopus.com/pages/publications/105050190631

U2 - 10.1109/ICCEM68495.2026.11628900

DO - 10.1109/ICCEM68495.2026.11628900

M3 - Conference article

AN - SCOPUS:105050190631

SN - 2768-2552

JO - IEEE International Conference on Computational Electromagnetics, ICCEM

JF - IEEE International Conference on Computational Electromagnetics, ICCEM

IS - 2026

T2 - 2026 IEEE International Conference on Computational Electromagnetics, ICCEM 2026

Y2 - 10 April 2026 through 12 April 2026

ER -

Solving Electromagnetic Scattering from 3-D Scatterers with Incomplete Profiles by Deep Learning

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