Uncertainty Calibrations of Deep-Learning Schemes for Full-Wave Inverse Scattering Problems
Author:
Affiliation:
1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
2. Critical Care Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10198339.pdf?arnumber=10198339
Reference59 articles.
1. Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems
2. Electromagnetic Modeling for Microwave Imaging of Cylindrical Buried Inhomogeneities
3. A New Scheme Based on Born Iterative Method for Solving Inverse Scattering Problems With Noise Disturbance
4. An innovative real-time technique for buried object detection
5. Learning-Assisted Multimodality Dielectric Imaging
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