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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
TH1.R18: Analysis of Multitemporal Images
Presentation Mode
Virtual
Session Time
Thu, 01 Oct, 12:00 - 14:00 UTC
Thu, 01 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Thu, 01 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Thu, 01 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Chairs
Yajing Yan, University Savoie Mont Blanc and Raffaella Guida, Surrey Space Centre
TH1.R18.1:
A SAR-BASED FEASIBILITY STUDY ON DETECTION OF OIL SEEPAGE FROM BURIED PIPELINES
Raffaella Guida;
Surrey Space Centre
Donato Amitrano;
Surrey Space Centre
Pasquale Iervolino;
Surrey Space Centre
Lorraine Jenney;
DNV GL
Louise Wright;
National Physical Laboratory
TH1.R18.2:
POLARIMETRIC SCATTERING CHARACTERISTIC ANALYSIS OF DISASTER AFFECTED AREA BASED ON HUYNEN-EULER PARAMETERS
Liting Liang;
National Space Science Center, Chinese Academy of Sciences
Yunhua Zhang;
National Space Science Center, Chinese Academy of Sciences
Dong Li;
National Space Science Center, Chinese Academy of Sciences
TH1.R18.3:
ENHANCING CONVENTIONAL SAR CHANGE DETECTION PERFORMANCE WITH APODIZATION
Viet Thuy Vu;
Blekinge Institute of Technology
Mats Pettersson;
Blekinge Institute of Technology
Thomas Sjögren;
Swedish Defense Research Agency
TH1.R18.4:
LANDSLIDE DETECTION BASED ON GLCM USING SAR IMAGES
Baihui Li;
University of Electronic Science and Technology of China
Yan Chen;
University of Electronic Science and Technology of China
Yunping Chen;
University of Electronic Science and Technology of China
Youchun Lu;
China Center for Resources Satellite Data and Application
Cunshi Ma;
University of Electronic Science and Technology of China
TH1.R18.5:
DEFORMATION VELOCITY MONITORING IN KUNMING CITY USING ASCENDING AND DESCENDING SENTINEL-1A DATA WITH SBAS-INSAR TECHNIQUE
Shipeng Guo;
Southwest Forestry University
Yongjie Ji;
Southwest Forestry University
Xin Tian;
Chinese Academy of Forestry
Wangfei Zhang;
Southwest Forestry University
Wei Kang;
Southwest Forestry University
Yun Li;
Southwest Forestry Uiversity
Tingwei Zhang;
Southwest forestry university
TH1.R18.6:
CHANGE DETECTION AND SIGNATURE CLASSIFICATION FOR SAR GMTI
Viet Thuy Vu;
Blekinge Institute of Technology
Mats Pettersson;
Blekinge Institute of Technology
Thomas Sjögren;
Swedish Defense Research Agency
TH1.R18.7:
EXTENDING THE FOLKI-PIV ALGORITHM FOR THE COHERENT COREGISTRATION OF SAR IMAGES
Angel Ribalta;
Fraunhofer FHR
TH1.R18.8:
SNOW CHARACTERIZATION AND AVALANCHE DETECTION IN THE INDIAN HIMALAYA
Akshay Patil;
Indian Institute of Technology Bombay
Gulab Singh;
Indian Institute of Technology Bombay
Sanjeev Kumar;
Snow and Avalanche Study Establishment
Sneh Mani;
Snow and Avalanche Study Establishment
Debmita Bandyopadhyay;
Indian Institute of Technology Bombay
Bala Raju Nela;
Indian Institute of Technology Bombay
Mohamed Musthafa;
Indian Institute of Technology Bombay
Shradha Mohanty;
Indian Institute of Technology Bombay
TH1.R18.9:
AN AUTOMATIC SPECTRAL RULE-BASED SYSTEM FOR REAL-TIME THERMAL ANOMALIES DETECTION USING GOES-16 ABI DATA
Luiz F. de Carvalho;
Visiona Space Technology
Giovanni Laneve;
University of Rome
Andrea Baraldi;
Italian Space Agency
Giancarlo Santilli;
University of Brasilia
TH1.R18.10:
EVALUATION OF SPATIAL-TEMPORAL VARIATION OF VEGETATION RESTORATION IN DEXING COPPER MINE AREA USING REMOTE SENSING DATA
Xiangwen Zhang;
China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
Rongyuan Liu;
China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
Fuping Gan;
China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
Wei Wang;
China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
Ling Ding;
China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
Bokun Yan;
China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
TH1.R18.11:
MERRAMAX: A MACHINE LEARNING APPROACH TO STOCHASTIC CONVERGENCE WITH A MULTI-VARIATE DATASET
Mark Carroll;
NASA
John Schnase;
NASA
Roger Gill;
NASA
Glenn Tamkin;
NASA
Jian Li;
NASA
Thomas Maxwell;
NASA
Savannah Strong;
NASA
Mary Aronne;
NASA