10-15 July 2022 • Denver, Colorado, USA

IEEE AP-S/URSI 2022

10-15 July 2022 • Denver, Colorado, USA

FR-UC.1P.6
Virtual Presentation

A Novel Multi-frequency Inverse Algorithm for 3D Medical Microwave Imaging Using Variational Born Iterative method

Yuan Fang, Kazem Bakian-Dogaheh, Mahta Moghaddam, University of Southern California, United States

Session:
Parameter Estimation and Detection

Track:
C: URSI-C Radiocommunication Systems and Signal Processing

Location:
Mineral Hall B (HR)

Presentation Time:
Fri, 15 Jul, 15:20 - 15:40 Denver Time (UTC -7)

Session Co-Chairs:
Jiefu Chen, University of Houston and John Willis, Florida International University
Presentation
Discussion
Session FR-UC.1P
FR-UC.1P.1: An Enhanced GPR FWI Scheme with Low-Frequency Data Extrapolated by Progressive Transfer Learning
Yuchen Jin, Yuan Zi, Xuqing Wu, Jiefu Chen, University of Houston, United States
FR-UC.1P.2: S2M-Net: A Deep Learning-based Scheme for GPR Image Translation from Simulation to Measurement via a Conditional Generative Adversarial Network
Qiqi Dai, Yee Hui Lee, Abdulkadir C. Yucel, Nanyang Technological University, Singapore, Singapore; Genevieve Ow, Mohamed Lokman, National Parks Board, Singapore, Singapore
FR-UC.1P.3: Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data
Wenhao Luo, Yee Hui Lee, Nanyang Technological University, Singapore; Lai Fern Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel, National Parks Board, Singapore, Singapore
FR-UC.1P.4: Automatic detection for imbalance rotation of wind turbine blade using convolutional neural network
In-Sik Choi, Yong-Bin Kim, Hannam University, Korea (South)
FR-UC.1P.5: Two-dimensional Direction of Arrival Estimation based on Nested Circular Array
Bin Cao, Marine Design Research Institute of China, China; Cong Xiong, Tao Jiang, Harbin Engineering University, China; Linshu Gong, Shanghai Electro-Mechanical Engineering Institute, China
FR-UC.1P.6: A Novel Multi-frequency Inverse Algorithm for 3D Medical Microwave Imaging Using Variational Born Iterative method
Yuan Fang, Kazem Bakian-Dogaheh, Mahta Moghaddam, University of Southern California, United States
FR-UC.1P.7: Rapid Health Assessment of Trees via Deep Learning-Augmented Radar
Jiwei Qian, Yee Hui Lee, Qiqi Dai, Kaixuan Cheng, Abdulkadir C. Yucel, Nanyang Technological University, Singapore; Liansheng He, Daryl Lee, National Parks Board, Singapore
FR-UC.1P.8: Fast Angle of Arrival Estimation on Rotating Platforms through Machine Learning
John Willis, Satheesh Venkatakrishnan, John Volakis, Florida International University, United States
FR-UC.1P.9: Direction of Arrival Estimation Using an Array of Stacked 2D Luneburg Lenses
Alejandro Rangel, Quanta Electromagnetic Science S.A.S, Colombia; Mae Almansoori, Felix Vega, Adamo Banelli, Chaouki Kasmi, Technology Innovation Institute, United Arab Emirates
FR-UC.1P.10: Frame-based Real-time SAR Imaging with Squint Compensation
Md Anowar Hossain, Mobien Shoaib, Muhammad Abdul Hadi, Raza Umar, Khalid Jamil, Salaheldin Salem, Prince Sultan Defense Studies and Research Center, Saudi Arabia; Adriano Meta, MetaSensing BV, Saudi Arabia
Resources
No resources available.