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

My IGARSS 2020 Schedule

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Session Detail

Session Title MO2.R3: SAR Interferometry I
Presentation Mode Virtual
Session Time Mon, 28 Sep, 14:30 - 16:30 UTC
Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsKamal Sarabandi, University of Michigan and Howard Zebker, Stanford University
MO2.R3.1: GULF STREAM DETECTION AND ESTIMATION WITH RADARSAT-2 ALONG-TRACK INTERFEROMETRY
         Mamoon Rashid; Defence Research and Development Canada (DRDC)
         Christoph Gierull; Defence Research and Development Canada (DRDC)
MO2.R3.2: EXPERIMENTAL STUDY ON ALONG TRACK TARGET VELOCITY ESTIMATION FOR MULTIPLE APERTURE SAR-MTI CONFIGURATION
         Kei Suwa; Mitsubishi Electric Corporation
         Toshio Wakayama; Mitsubishi Electric Corporation
MO2.R3.3: ON THE USE OF PRF DITHERING FOR WIDE SWATH, FINE RESOLUTION INSAR
         Howard Zebker; Stanford University
MO2.R3.4: FEASIBILITY OF RETRIEVING SOIL MOISTURE FROM INSAR DECORRELATION PHASE AND CLOSURE PHASE
         Roger Michaelides; Stanford University
         Howard Zebker; Stanford University
MO2.R3.5: A PHYSICS-BASED DECORRELATION PHASE COVARIANCE MODEL FOR EFFECTIVE DECORRELATION NOISE REDUCTION IN INTERFEROGRAM STACKS
         Yujie Zheng; California Institute of Technology
         Howard Zebker; Stanford University
         Roger Michaelides; Stanford University
MO2.R3.6: A DEEP LEARNING BASED METHOD FOR LOCAL SUBSIDENCE DETECTION AND INSAR PHASE UNWRAPPING: APPLICATION TO MINING DEFORMATION MONITORING
         Zhipeng Wu; Aerospace Information Research Institute
         Heng Zhang; Aerospace Information Research Institute
         Yingjie Wang; Aerospace Information Research Institute
         Teng Wang; Peking University
         Robert Wang; Aerospace Information Research Institute
MO2.R3.7: A THREE-STAGE FRAMEWORK FOR MULTI-BASELINE INSAR PHASE UNWRAPPING
         Junyi Xu; Northwestern Polytechnical University
         Hanwen Yu; University of Houston
         Songlin Liu; Wuhan University
MO2.R3.8: IMPROVED INSAR LAYOVER AND SHADOW DETECTION USING MULTI-FEATURE
         Siyuan Wang; Beihang University
         Huaping Xu; Beihang University
         Bo Yang; Beihang University
         Yao Luo; Beihang University
MO2.R3.9: AN ADAPTIVE STATISTICAL MULTI-GRID DINSAR TECHNIQUE FOR STUDYING MULTI-SCALE EARTH SURFACE DEFORMATION PHENOMENA
         Pietro Mastro; Università degli Studi della Basilicata
         Francesco Falabella; Università degli Studi della Basilicata
         Antonio Pepe; Italian National Council of Research
MO2.R3.10: QUANTIFYING THE EFFECT OF THE WIND ON FOREST CANOPY HEIGHT ESTIMATION USING INTERFEROMETRIC SYNTHETIC APERTURE RADAR SYSTEMS
         Michael Benson; University of Michigan
         Leland Pierce; University of Michigan
         Kamal Sarabandi; University of Michigan