An autoencoder solution for the electromagnetic inverse source problem

E. Cinotti; G. Esposito; G. Gennarelli; G. Ludeno; I. Catapano; A. Capozzoli; C. Curcio; A. Liseno; F. Soldovieri

doi:10.1117/12.2675891

9 August 2023 An autoencoder solution for the electromagnetic inverse source problem

E. Cinotti, G. Esposito, G. Gennarelli, G. Ludeno, I. Catapano, A. Capozzoli, C. Curcio, A. Liseno, F. Soldovieri

Proceedings Volume 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III; 126210K (2023) https://doi.org/10.1117/12.2675891
Event: SPIE Optical Metrology, 2023, Munich, Germany

Abstract

This study addresses a 2D scalar electromagnetic inverse source problem by using a deep neural network-based artificial intelligence technique. Specifically, the Learned Singular Value Decomposition (L-SVD) approach based on hybrid autoencoding is adopted. The main goal is to reproduce the singular value decomposition through neural networks and compare the reconstruction performance of L-SVD and truncated SVD (TSVD) in the case of noiseless data, which represents a reference benchmark. The results demonstrate that L-SVD outperforms TSVD in terms of spatial resolution.

Conference Presentation

Citation Download Citation

E. Cinotti, G. Esposito, G. Gennarelli, G. Ludeno, I. Catapano, A. Capozzoli, C. Curcio, A. Liseno, and F. Soldovieri "An autoencoder solution for the electromagnetic inverse source problem", Proc. SPIE 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, 126210K (9 August 2023); https://doi.org/10.1117/12.2675891

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available