WE7.V1.2

SUBSURFACE CAVITIES CHARACTERIZATION FROM X-BAND VHR SPACEBORNE SAR IMAGES

Leonardo Carrer, Lorenzo Bruzzone, University of Trento, Italy; Davide Castelletti, Capella Space Corporation, Italy; Riccardo Pozzobon, University of Padova, Italy; Francesco Sauro, University of Bologna, Italy

Session:
SAR Imaging Techniques: Applications Oral Virtual

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Location:
Virtual Room 1

Presentation Time:
Wed, 20 Jul, 23:15 - 23:30 Malaysia Time (UTC +8)
Wed, 20 Jul, 17:15 - 17:30 Central European Time (UTC +1)
Wed, 20 Jul, 15:15 - 15:30 UTC
Wed, 20 Jul, 11:15 - 11:30 Eastern Time (UTC -4)

Session Chair:
Yong Wang, East Carolina University
Session Manager:
Farrah Nurdiana Ibrahim
Presentation
Discussion
Resources
No resources available.
Session WE7.V1
WE7.V1.1: EFFICIENT IMAGING ALGORITHM FOR RAIL-SAR WITH K-SPACE UNDERSAMPLING
JianXiong Zhou, LongChao Li, JiaHao Tian, National University of Defense Technology, China; RongQiang Zhu, Southwest Electronics and Telecommunication Technology Research Institute, China
WE7.V1.2: SUBSURFACE CAVITIES CHARACTERIZATION FROM X-BAND VHR SPACEBORNE SAR IMAGES
Leonardo Carrer, Lorenzo Bruzzone, University of Trento, Italy; Davide Castelletti, Capella Space Corporation, Italy; Riccardo Pozzobon, University of Padova, Italy; Francesco Sauro, University of Bologna, Italy
WE7.V1.3: Benchmark for Arbitrary-Oriented SAR Ship Detection
Yue Zhou, Xue Jiang, Xingzhao Liu, Shanghai Jiao Tong University, China; Zhou Li, Beijing Institute of Remote Sensing Information, China
WE7.V1.4: A MULTI-LEVEL FEATURES FUSION NETWORK FOR SAR SHIP SEGMENTATION
Han Qu, Bin Wang, Chenguang Yang, Shanghai Jiao Tong University, China; Kaizhi Wang, National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong university, Shanghai, 200240, China, China
WE7.V1.5: Measuring and Enhancing the Visual Content of Polarimetric Synthetic Aperture Radar Decompositions
Ulilé Indeque, LaCCAN, Brazil; Alejandro C. Frery, Victoria University of Wellington, New Zealand
WE7.V1.6: A NOVEL RICE SENSITIVE RADAR INDEX MODEL OF RICE RECOGNITION USING GF-3 SATELLITE
Dandan Zhang, Yingjuan Wei, Chenchao Xiao, Land Satellite Remote Sensing Application Center,Ministry of Natural Resources, China; Huixuan Chen, Base of State Key Lab of Urban Environmental Processes and Digital Modeling, Capital Normal University, China