Deep Learning-Enhanced Iterative Modified Contrast Source Method for Electromagnetic Imaging in Half-Space

This paper presents a hybrid inversion framework that integrates a physics-informed iterative algorithm with a deep learning-based refinement strategy to address the electromagnetic inverse scattering problem of a uniaxial object buried in lossy half-space environments. Specifically, an Iterative Mo...

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Bibliografiske detaljer

Principais autores:	Wei-Tsong Lee, Chien-Ching Chiu, Po-Hsiang Chen, Yen-Chun Li, Hao Jiang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-11-01
Serier:	Mathematics
Fag:	Artificial Intelligence transverse electric waves iterative Modified Contrast Scheme U-Net architecture electromagnetic inverse scattering half-space imaging
Online adgang:	https://www.mdpi.com/2227-7390/13/22/3711
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