A Mesh-Free 3-D Deep Learning Electromagnetic Inversion Method Based on Point Clouds

Deep learning has been successfully used in the 2-D-mesh-based electromagnetic inverse scattering (EMIS) problems in the past. However, for 3-D EMIS problems, the massive amount of meshes generated by the mesh-based inversion methods makes deep learning implementation very challenging. Addressing th...

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Veröffentlicht in:	IEEE transactions on microwave theory and techniques Jg. 71; H. 8; S. 3530 - 3539
Hauptverfasser:	Chen, Yanjin, Zhang, Hongrui, Cui, Tie Jun, Teixeira, Fernando L., Li, Lianlin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Computing costs Controllability Deep learning Electromagnetic interference Electromagnetics Forward scattering Image reconstruction Inverse problems Inverse scattering Machine learning Mesh generation mesh-free Meshless methods point cloud Point cloud compression Real-time systems Three dimensional models
ISSN:	0018-9480, 1557-9670
Online-Zugang:	Volltext
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