A Convolutional Neural Network with Multifrequency and Structural Similarity Loss Functions for Electromagnetic Imaging

In this paper, artificial intelligence (AI) technology is applied to the electromagnetic imaging of anisotropic objects. Advances in magnetic anomaly sensing systems and electromagnetic imaging use electromagnetic principles to detect and characterize subsurface or hidden objects. We use measured mu...

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Bibliografische gegevens

Hoofdauteurs:	Chien-Ching Chiu, Che-Yu Lin, Yu-Jen Chi, Hsiu-Hui Hsu, Po-Hsiang Chen, Hao Jiang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-08-01
Reeks:	Sensors
Onderwerpen:	electromagnetic imaging artificial intelligence anisotropic objects back-propagation scheme loss function convolutional neural network
Online toegang:	https://www.mdpi.com/1424-8220/24/15/4994
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