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

MO2.R3: SAR Interferometry I

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 Summer Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Kamal Sarabandi, University of Michigan and Howard Zebker, Stanford University
Session Managers: Laura Almendra Martín and Delmy Stefany Menjivar Sandoval
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
14:30-14:40 (UTC)
22:30-22:40 (UTC +8)
16:30-16:40 (UTC +2)
07:30-07:40 (UTC -7)

MO2.R3.1: GULF STREAM DETECTION AND ESTIMATION WITH RADARSAT-2 ALONG-TRACK INTERFEROMETRY
Mamoon Rashid, Christoph Gierull, Defence Research and Development Canada (DRDC), Canada
14:40-14:50 (UTC)
22:40-22:50 (UTC +8)
16:40-16:50 (UTC +2)
07:40-07:50 (UTC -7)

MO2.R3.2: EXPERIMENTAL STUDY ON ALONG TRACK TARGET VELOCITY ESTIMATION FOR MULTIPLE APERTURE SAR-MTI CONFIGURATION
Kei Suwa, Toshio Wakayama, Mitsubishi Electric Corporation, Japan
14:50-15:00 (UTC)
22:50-23:00 (UTC +8)
16:50-17:00 (UTC +2)
07:50-08:00 (UTC -7)

MO2.R3.3: ON THE USE OF PRF DITHERING FOR WIDE SWATH, FINE RESOLUTION INSAR
Howard Zebker, Stanford University, United States
15:00-15:10 (UTC)
23:00-23:10 (UTC +8)
17:00-17:10 (UTC +2)
08:00-08:10 (UTC -7)

MO2.R3.4: FEASIBILITY OF RETRIEVING SOIL MOISTURE FROM INSAR DECORRELATION PHASE AND CLOSURE PHASE
Roger Michaelides, Howard Zebker, Stanford University, United States
15:10-15:20 (UTC)
23:10-23:20 (UTC +8)
17:10-17:20 (UTC +2)
08:10-08:20 (UTC -7)

MO2.R3.5: A PHYSICS-BASED DECORRELATION PHASE COVARIANCE MODEL FOR EFFECTIVE DECORRELATION NOISE REDUCTION IN INTERFEROGRAM STACKS
Yujie Zheng, California Institute of Technology, United States; Howard Zebker, Roger Michaelides, Stanford University, United States
15:20-15:30 (UTC)
23:20-23:30 (UTC +8)
17:20-17:30 (UTC +2)
08:20-08:30 (UTC -7)

MO2.R3.6: A DEEP LEARNING BASED METHOD FOR LOCAL SUBSIDENCE DETECTION AND INSAR PHASE UNWRAPPING: APPLICATION TO MINING DEFORMATION MONITORING
Zhipeng Wu, Heng Zhang, Yingjie Wang, Aerospace Information Research Institute, China; Teng Wang, Peking University, China; Robert Wang, Aerospace Information Research Institute, China
15:30-15:40 (UTC)
23:30-23:40 (UTC +8)
17:30-17:40 (UTC +2)
08:30-08:40 (UTC -7)

MO2.R3.7: A THREE-STAGE FRAMEWORK FOR MULTI-BASELINE INSAR PHASE UNWRAPPING
Junyi Xu, Northwestern Polytechnical University, China; Hanwen Yu, University of Houston, United States; Songlin Liu, Wuhan University, China
15:40-15:50 (UTC)
23:40-23:50 (UTC +8)
17:40-17:50 (UTC +2)
08:40-08:50 (UTC -7)

MO2.R3.8: IMPROVED INSAR LAYOVER AND SHADOW DETECTION USING MULTI-FEATURE
Siyuan Wang, Huaping Xu, Bo Yang, Yao Luo, Beihang University, China
15:50-16:00 (UTC)
23:50-00:00 (UTC +8)
17:50-18:00 (UTC +2)
08:50-09:00 (UTC -7)

MO2.R3.9: An Adaptive Statistical Multi-grid DInSAR Technique for Studying Multi-scale Earth Surface Deformation Phenomena
Pietro Mastro, Francesco Falabella, Università degli Studi della Basilicata, Italy; Antonio Pepe, Italian National Council of Research, Italy
16:00-16:10 (UTC)
00:00-00:10 (UTC +8)
18:00-18:10 (UTC +2)
09:00-09:10 (UTC -7)

MO2.R3.10: QUANTIFYING THE EFFECT OF THE WIND ON FOREST CANOPY HEIGHT ESTIMATION USING INTERFEROMETRIC SYNTHETIC APERTURE RADAR SYSTEMS
Michael Benson, Leland Pierce, Kamal Sarabandi, University of Michigan, United States