MO3.R11.2
Sim-to-Real GPR Image Reconstruction for Internal Crack Geometry Using 3D FDTD Simulation
Takumi Oda, Yoshihito Yamamoto, HOSEI University, Japan; Ryohei Kiyoshi, KGS Inc., Japan; Tomoko Ozeki, HOSEI University, Japan; Jun Sonoda, National Institute of Technology, Sendai College, Japan; Tomoyuki Kimoto, National Institute of Technology, Oita College, Japan
Session:
MO3.R11: Ground Penetrating Radar Oral
Track:
Sensors
Location:
Cabinet
Presentation Time:
Monday, 10 August, 14:00 - 14:15
Session Co-Chairs:
Seyed (Reza) Zekavat, Worcester Polytechnic Institute and Andrew Feldman, NASA GSFC/UMD
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Session MO3.R11
MO3.R11.1: ENABLING INTELLIGENT SOIL MOISTURE ESTIMATION VIA DRONE-BORNE SOFTWARE-DEFINED RADIO GPR
Saeed Haghniaz Jahromi, Noushin Khosravi Largani, Doug Petkie, Seyed (Reza) Zekavat, Worcester Polytechnic Institute, United States
MO3.R11.2: Sim-to-Real GPR Image Reconstruction for Internal Crack Geometry Using 3D FDTD Simulation
Takumi Oda, Yoshihito Yamamoto, HOSEI University, Japan; Ryohei Kiyoshi, KGS Inc., Japan; Tomoko Ozeki, HOSEI University, Japan; Jun Sonoda, National Institute of Technology, Sendai College, Japan; Tomoyuki Kimoto, National Institute of Technology, Oita College, Japan
MO3.R11.3: INTELLIGENT GPR ENERGY-EFFICIENT MULTI-CARRIER WAVEFORM DESIGN
Noushin Khosravi Largani, Vincent Filardi, Worcester Polytechnic Institute, United States; Brian Wilson, Michigan Tech Research Institute, United States; Doug Petkie, Seyed (Reza) Zekavat, Worcester Polytechnic Institute, United States
MO3.R11.4: SOIL WATER CONTENT PREDICTION WITH DRONE-BASED GPR USING MACHINE LEARNING
Saeed Haghniaz Jahromi, Yasin Nooran, Vincent Filardi, Noushin Khosravi Largani, Doug Petkie, Seyed (Reza) Zekavat, Worcester Polytechnic Institute, United States
MO3.R11.5: Firn Clutter Interference Analysis for 45 MHz Orbital Ice Sounding Radar Based on "Snow Eagle 601" Data
Qian Zhao, Peng Xiao, Capital Normal University, China; Xiaoqing Tian, China Academy of Space Technology, China; Shida Wang, Yuanyuan Liu, Jiayuan Bai, Capital Normal University, China
Resources
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