TH2.R3.5

Deep Learning for Unsupervised Denoising of Radar Sounder Data

Elena Donini, Fondazione Bruno Kessler, Italy; Alessandro Zuech, Lorenzo Bruzzone, University of Trento, Italy; Francesca Bovolo, Fondazione Bruno Kessler, Italy

Session:
TH2.R3: Sub-surface sensing: Methods and Applications I Oral

Track:
SAR Imaging and Processing Techniques

Location:
Room 107

Presentation Time:
Thu, 20 Jul, 11:03 - 11:15 Pacific Time (UTC -8)

Session Chair:
Essam Heggy, University of Southern California
Session Manager:
Shankho Subhra Pal
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Session TH2.R3
TH2.R3.1: BURIED TARGET DETECTION WITH A UAV BASED GPSAR-SYSTEM USING A CIRCLE-HOUGH-TRANSFORMATION
Bernd Arendt, Thomas Walter, University of Applied Science Ulm, Germany; Winfried Mayer, FindMine gGmbH, Germany
TH2.R3.2: AIRBORNE VHF SOUNDING RADAR FOR DESERT SUBSURFACE EXPLORATION OF AQUIFERS (DESERT-SEA)
Essam Heggy, Mahta Moghaddam, Elizabeth Palmer, University of Southern California, United States; William Brown, Metric Systems Corporation, United States; Zlatan Tsvetanov, Hamad Bin Khalifa University, Qatar; Mohamed Shokry, Bin Omran Trading & Telecommunications WLL, Qatar; Lee Blanton, Metric Systems Corporation, United States; Akram Abdellatif, German Aerospace Center (DLR), Germany; Tamer Khattab, Qatar University, Qatar; Mikolaj Kosinski, Paul Sirri, Edgar Dixon, Abotalib Abotalib, Jonathan Normand, University of Southern California, United States; John Clark, Gary Klemens, Metric Systems Corporation, United States; Matthieu Agranier, Francois Guillon, University of Southern California, United States; Sayed Bateni, University of Hawaii at Manoa, United States; Alireza Tabatabaeenejad, Aerospace Corporation, United States
TH2.R3.3: TOWARDS COHERENT CHANGE DETECTION FOR ICE SHEET NEAR-SURFACE PROCESS STUDIES WITH AIRBORNE ICE-PENETRATING RADAR
Riley Culberg, Princeton University, United States; Roger Michaelides, Washington University in St. Louis, United States
TH2.R3.4: SENSITIVITY ANALYSIS OF RADAR RESPONSE TO DESERT SHALLOW AQUIFERS FOR THE OASIS MISSION CONCEPT STUDY
Alireza Tabatabaeenejad, The Aerospace Corporation, United States; Mark Haynes, Jet Propulsion Laboratory, United States; Essam Heggy, University of Southern California, United States
TH2.R3.5: Deep Learning for Unsupervised Denoising of Radar Sounder Data
Elena Donini, Fondazione Bruno Kessler, Italy; Alessandro Zuech, Lorenzo Bruzzone, University of Trento, Italy; Francesca Bovolo, Fondazione Bruno Kessler, Italy
Resources
No resources available.