17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TH5.V3.3

EMPIRICAL CHARACTERIZATION OF SURFACE CREVASSE CLUTTER IN MULTI-FREQUENCY AIRBORNE ICE-PENETRATING RADAR DATA

Martin Altenburg, Riley Culberg, Dustin Schroeder, Stanford University, United States
Session:
Subsurface Sensing techniques II Oral Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 3
Presentation Time:
Thu, 21 Jul, 20:20 - 20:35 Malaysia Time (UTC +8)
Thu, 21 Jul, 14:20 - 14:35 Central European Time (UTC +2)
Thu, 21 Jul, 12:20 - 12:35 UTC
Thu, 21 Jul, 08:20 - 08:35 Eastern Time (UTC -4)
Session Co-Chairs:
Zhiguo Meng, Jilin University and Elena Donini, Fondazione Bruno Kessler
Session Manager:
Nur Arif Asyikin Mohamad Ali
Presentation
Discussion
Resources
No resources available.
Session TH5.V3
TH5.V3.1: EXPERIMENT AND SIMULATION OF BURIED TARGETS IN THE VICINITY OF OBJECTS ON THE GROUND WITH A SYNTHETIC APERTURE RADAR
Akihisa Uematsu, Nishibori Toshiyuki, Japan Aerospace Exploration Agency, Japan
TH5.V3.2: IDENTIFYING A COMPOSITION-RELATED TB ANOMLAY IN COPERNICUS CRATER USING CE-2 MRM DATA
Zhiguo Meng, Heya Qiu, Yanxiang Shi, Jilin University, China; Jinsong Ping, National Astronomical Observatories, cas, China; Zhanchuan Cai, Macau University of Science and Technology, China; Alexander Gusev, Kazan Federal University, Russia
TH5.V3.3: EMPIRICAL CHARACTERIZATION OF SURFACE CREVASSE CLUTTER IN MULTI-FREQUENCY AIRBORNE ICE-PENETRATING RADAR DATA
Martin Altenburg, Riley Culberg, Dustin Schroeder, Stanford University, United States
TH5.V3.4: SAR Focusing of Mobile ApRES Surveys
Sarina Kapai, Dustin Schroeder, Anna Broome, Stanford University, United States; Tun Jan Young, Craig Stewart, Cambridge University, United States
TH5.V3.5: Subsurface Structure Detection In Martian Arctic Based on MARSIS
Longxiang Wang, Hongxia Ye, Fudan University, China
TH5.V3.6: An Unsupervised Deep Learning Method for the Super-resolution of Radar Sounder Data
Elena Donini, Miguel Hoyo García, Francesca Bovolo, Fondazione Bruno Kessler, Italy; Amar Kasibovic, Lorenzo Bruzzone, University of Trento, Italy