PIERS2019 Xiamen Focus/Special Sessions

5_FocusSession.SC5: Machine Learning for Inversion and Imaging 1

Organized by Dr. Dominique Lesselier (UMR8506 (CNRS, Centrale Supélec, University Paris-Sud), University Paris-Saclay) and Prof. Xudong Chen (National University of Singapore)

Session's Information:

The session welcomes all papers that are related to learning approach to problems in inverse scattering, imaging, and remote sensing. The session aims at presenting frontier researches in the theories, computations, and applications of machine learning for solving electromagnetic inverse problems. All types of learning algorithms are welcomed: supervised and semi-supervised learning, unsupervised learning, and reinforcement learning. Applications include but not limited to microwave imaging, through-wall-imaging, subsurface detection, electric impedance or capacitance tomography, biomedical imaging, near-field optical imaging, non-destructive testing/evaluation, and remote sensing.

Organizer's Information:

Dr. Dominique Lesselier UMR8506 (CNRS, Centrale Supélec, University Paris-Sud), University Paris-Saclay http://www.l2s.centralesupelec.fr Prof. Xudong Chen National University of Singapore