IEEE AP-S/URSI 2021 || Marina Bay Sands, Singapore || 4-10 December 2021

TH-SP.3P: Machine Learning for Inverse Scattering and Imaging

Thu, 9 Dec, 14:00 - 17:40 Singapore Time (UTC +8)
Thu, 9 Dec, 07:00 - 10:40 France Time (UTC +2)
Thu, 9 Dec, 06:00 - 09:40 UTC
Thu, 9 Dec, 01:00 - 04:40 New York Time (UTC -4)

Location: Peony Junior Ballroom 4512

Session Co-Chairs: Abdulkadir C. Yucel, Nanyang Technological University and Marco Salucci, ELEDIA@UniTN - University of Trento

Session Manager: Room R10 Manager

Track: AP-S General Topics

Thu, 9 Dec, 14:00 - 14:20 Singapore Time (UTC +8)
Thu, 9 Dec, 07:00 - 07:20 France Time (UTC +2)
Thu, 9 Dec, 06:00 - 06:20 UTC
Thu, 9 Dec, 01:00 - 01:20 New York Time (UTC -4)

TH-SP.3P.1: A Deep Learning Scheme for Rapidly Reconstructing 3D Permittivity Maps from GPR C-scans

Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Abdulkadir C. Yucel, Nanyang Technological University, Singapore; Genevieve Ow, Mohamed Lokman, National Parks Board, Singapore

Thu, 9 Dec, 14:20 - 14:40 Singapore Time (UTC +8)
Thu, 9 Dec, 07:20 - 07:40 France Time (UTC +2)
Thu, 9 Dec, 06:20 - 06:40 UTC
Thu, 9 Dec, 01:20 - 01:40 New York Time (UTC -4)

TH-SP.3P.2: A Two-Stage Deep Neural Network for Ground-Penetrating Radar Data Inversion under Heterogeneous Soil Conditions

Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Abdulkadir C. Yucel, Nanyang Technological University, Singapore; Genevieve Ow, Mohamed Lokman, National Parks Board, Singapore

Thu, 9 Dec, 14:40 - 15:00 Singapore Time (UTC +8)
Thu, 9 Dec, 07:40 - 08:00 France Time (UTC +2)
Thu, 9 Dec, 06:40 - 07:00 UTC
Thu, 9 Dec, 01:40 - 02:00 New York Time (UTC -4)

TH-SP.3P.3: Multi-Domain Learning Scheme for Full-Wave Nonlinear Inverse Scattering Problems

Yusong Wang, Zhun Wei, Zhejiang University, China

Thu, 9 Dec, 15:00 - 15:20 Singapore Time (UTC +8)
Thu, 9 Dec, 08:00 - 08:20 France Time (UTC +2)
Thu, 9 Dec, 07:00 - 07:20 UTC
Thu, 9 Dec, 02:00 - 02:20 New York Time (UTC -4)

TH-SP.3P.4: Deep Learning Structure Influence on Reconstruction Performance in 3D Inverse Scattering Problems

Yulong Zhou, Tiantian Yin, Xudong Chen, National University of Singapore, Singapore

Thu, 9 Dec, 15:20 - 15:40 Singapore Time (UTC +8)
Thu, 9 Dec, 08:20 - 08:40 France Time (UTC +2)
Thu, 9 Dec, 07:20 - 07:40 UTC
Thu, 9 Dec, 02:20 - 02:40 New York Time (UTC -4)

TH-SP.3P.5: Fast Full-wave Microwave Imaging With Physics Embedded Deep Neural Network

Rui Guo, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar, Tsinghua University, China

Tea Break

Thu, 9 Dec, 16:00 - 16:20 Singapore Time (UTC +8)
Thu, 9 Dec, 09:00 - 09:20 France Time (UTC +2)
Thu, 9 Dec, 08:00 - 08:20 UTC
Thu, 9 Dec, 03:00 - 03:20 New York Time (UTC -4)

TH-SP.3P.1: A Deep Learning Scheme for Rapidly Reconstructing 3D Permittivity Maps from GPR C-scans

TH-SP.3P.2: A Two-Stage Deep Neural Network for Ground-Penetrating Radar Data Inversion under Heterogeneous Soil Conditions

TH-SP.3P.3: Multi-Domain Learning Scheme for Full-Wave Nonlinear Inverse Scattering Problems

TH-SP.3P.4: Deep Learning Structure Influence on Reconstruction Performance in 3D Inverse Scattering Problems

TH-SP.3P.5: Fast Full-wave Microwave Imaging With Physics Embedded Deep Neural Network

TH-SP.3P.6: Learning-Assisted Fast Inversion for Solving Inverse Scattering Problems with Phaseless Data

TH-SP.3P.7: Model-Based Data Generation for Support Vector Machine Stroke Classification

TH-SP.3P.8: Intelligent Meta-Imagers: From Compressed to Learned Sensing

TH-SP.3P.9: AI-Assisted Computationally-Efficient Global Optimization for Inverse Scattering

TH-SP.3P.10: Neural Network and Microwave Sensing for Food Contamination Monitoring