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2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
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Session Detail
Session Title
TU1.R16: POLSAR Analytic Techniques
Presentation Mode
Virtual
Session Time
Tue, 29 Sep, 12:00 - 14:00 UTC
Tue, 29 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Tue, 29 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Chairs
Tom Ainsworth, U.S. Naval Research Laboratory and Masanobu Shimada, University of Dendai
TU1.R16.1:
FURTHER INSIGHTS ON THE EFFECTS OF SURFACTANTS ON INTERNAL WAVE SAR SIGNATURES BY MEANS OF THE CO-POLARIZED PHASE DIFFERENCE
Carina Regina de Macedo;
University of Porto
José Carlos Bastos da Silva;
University of Porto
TU1.R16.2:
DUAL POLARIMETRIC SAR COVARIANCE MATRIX ESTIMATION USING DEEP LEARNING
Adugna Mullissa;
Wageningen University
Diego Marcos;
Wageningen University
Martin Herold;
Wageningen University
Johannes Reiche;
Wageningen University
TU1.R16.3:
ANALYSIS OF POLARIZATION ORIENTATION ANGLE ESTIMATION OF X-BAND POLSAR DATA AND EXPERIMENT INVESTIGATION
Zhiyong Suo;
Xidian University
Yuan Guo;
Xidian University
Zhiqiang Liao;
Sichuan Aerospace Electronic Equipment Research Institute
TU1.R16.4:
POLSAR IMAGE CLASSIFICATION VIA ROBUST LOW-RANK FEATURE EXTRACTION AND MARKOV RANDOM FIELD
Haixia Bi;
University of Bristol
Raul Santos-Rodriguez;
University of Bristol
Peter Flach;
University of Bristol
TU1.R16.5:
COMPARISON OF TARGET DETECTION RESULTS IN A FOREST WHETHER THE BRANCHES ARE COVERED WITH SNOW BASED ON P-BAND AIRBORNE SAR QUAD-POL IMAGES
Peng Li;
University of Chinese Academy of Sciences
Dacheng Liu;
Department of Space Microwave Remote Sensing System
Robert Wang;
Department of Space Microwave Remote Sensing System
Yunkai Deng;
Department of Space Microwave Remote Sensing System
Fengjun Zhao;
Department of Space Microwave Remote Sensing System
TU1.R16.6:
METRIC LEARNING BASED FINE-GRAINED CLASSIFICATION FOR POLSAR IMAGERY
Jun Ni;
Beijing University of Chemical Technology
Yunzhe Jia;
Beijing University of Chemical Technology
Qiang Yin;
Beijing University of Chemical Technology
Yongsheng Zhou;
Beijing University of Chemical Technology
Fan Zhang;
Beijing University of Chemical Technology
TU1.R16.7:
SYNERGIC USE OF SAR AND OPTICAL DATA FOR ESTIMATION OF SOIL MOISTURE IN VEGETATIVE REGION
Nidhi Verma;
Indian Institute of Information Technology Allahabad
Pooja Mishra;
Indian Institute of Information Technology Allahabad
Neetesh Purohit;
Indian Institute of Information Technology Allahabad
TU1.R16.8:
STUDY ON POLARIMETRIC SCATTERING CHARACTERISTICS BASED ON DIFFERNENT BAND SAR IMAGES
Zheng Yu Luo;
Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China
Shu Cheng You;
Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China
Yu Hang Gan;
Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China
Ke Liu;
Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China
Chang Li;
National Quality Inspection and Testing Center for Surveying and Mapping Products
Yun He;
Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China
TU1.R16.9:
ISCE DOCKER TOOLS: AUTOMATED RADIOMETRIC TERRAIN CORRECTION AND IMAGE COREGISTRATION OF UAVSAR MLC DATA
Simon Kraatz;
University of Massachusetts at Amherst
Paul Siqueira;
University of Massachusetts at Amherst
Shannon Rose;
University of Massachusetts at Amherst
TU1.R16.10:
SYNERGETIC USE OF MORPHOLOGICAL AND RADAR PARAMETER FOR LUNAR WATER ICE DETECTION
Urvi Shroff;
CEPT University
Bindi Dave;
CEPT University
Shiv Mohan;
PLANEX-PRL
TU1.R16.11:
PORT DETECTION IN POLARIMETRIC SAR IMAGES BASED ON THREE-COMPONENT DECOMPOSITION
Chun Liu;
Northwestern Polytechnical University
Jiangbin Zheng;
Northwestern Polytechnical University
Xuan Nie;
Northwestern Polytechnical University
TU1.R16.12:
COMPARISON OF MACHINE LEARNING METHODS FOR PREDICTING QUAD-POLARIMETRIC PARAMETERS FROM DUAL-POLARIMETRIC SAR DATA
Katalin Blix;
UiT The Arctic University of Norway
Martine M. Espeseth;
UiT The Arctic University of Norway
Torbjørn Eltoft;
UiT The Arctic University of Norway
