TH2.R14.4

INTERPOLATION OF LOW-SAMPLING INTERVAL GROUND PENETRATING RADAR IMAGES BY F-K DOMAIN CONVOLUTIONAL NEURAL NETWORKS

Takanori Imai, The University of Tokyo, Japan; Tsukasa Mizutani, Institute of Industrial Science, The University of Tokyo, Japan
Session:
TH2.R14: Sub-surface sensing: Methods and Applications II Oral
Track:
SAR Imaging and Processing Techniques
Location:
Banqueting Hall
Presentation Time:
Thu, 11 Jul, 12:22 - 12:36
Session Co-Chairs:
Kamal Sarabandi, University of Michigan and Maria Garcia-Fernandez, Queen's University Belfast and Tsukasa Mizutani, Institute of Industrial Science, The University of Tokyo
Presentation
Discussion
Resources
No resources available.
Session TH2.R14
TH2.R14.1: MAPPING OF GROUND LAYER DISCONTINUITIES USING A MULTISTATIC SUBSURFACE SAR
Abdulrahman Aljurbua, Hussein Shaman, King Abdulaziz City for Science and Technology, Saudi Arabia; Kamal Sarabandi, University of Michigan, United States
TH2.R14.2: PLATFORM ALTITUDE AND VELOCITY CONSTRAINTS ON THE DETECTABILITY OF SUBSURFACE INTERFACES IN RADAR SOUNDING DATA
Dustin Schroeder, Thomas Teisberg, Stanford University, United States
TH2.R14.3: ON THE SPATIAL RESOLUTION OF UAV-MOUNTED DLGPR IMAGING SYSTEMS
Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi, Queen's University Belfast, United Kingdom; Jaime Laviada, Yuri Alvarez, Fernando Las Heras, University of Oviedo, Spain
TH2.R14.4: INTERPOLATION OF LOW-SAMPLING INTERVAL GROUND PENETRATING RADAR IMAGES BY F-K DOMAIN CONVOLUTIONAL NEURAL NETWORKS
Takanori Imai, The University of Tokyo, Japan; Tsukasa Mizutani, Institute of Industrial Science, The University of Tokyo, Japan
TH2.R14.5: HIERARCHICAL LEARNING FOR THE UNSUPERVISED SEGMENTATION OF RADAR SOUNDER DATA ACQUIRED ON THE CRYOSPHERE
Elena Donini, Francesca Bovolo, Fondazione Bruno Kessler, Italy
TH2.R14.6: ANALYSIS OF THE DETECTABILITY OF LAVA FLOW FORMATIONS ON VENUS BY SUBSURFACE RADAR SOUNDING SIMULATIONS
Ludovica Maria Beati, Marco Cortellazzi, Lorenzo Bruzzone, University of Trento, Italy
TH2.R14.7: ENHANCING THE DETECTION PROBABILITY OF BURIED OBJECTS BY PHASE ANALYSIS OF A SFCW-GPR
Bernd Arendt, Michael Schneider, Thomas Walter, University of Applied Science Ulm, Germany
Resources
No resources available.