IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

WE4.O-9.5

AUTOMATIC DETECTION OF INSAR DEFORMATION SIGNALS USING A REALISTIC TROPOSPHERIC TURBULENCE NOISE MODEL

Scott Staniewicz, Jingyi Chen, University of Texas at Austin, United States

Session:

PS/DS InSAR Monitoring Techniques

Track:

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

Presentation Time:

Wed, 14 Jul, 15:40-15:55 (UTC)
Wed, 14 Jul, 17:40-17:55 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 23:40-23:55 China Standard Time (UTC +8)
Wed, 14 Jul, 11:40-11:55 Eastern Daylight Time (UTC -4)

Session Co-Chairs:

Andy Hooper, University of Leeds and Jingyi Chen, University of Texas at Austin

Session Manager:

Miguel Hoyo García

Session WE4.O-9

WE4.O-9.1: MAXIMUM TEMPORAL BASELINE FOR INSAR TIME SERIES

Howard Zebker, Karissa Pepin, Stanford University, United States

WE4.O-9.2: Analysis of heterogeneous PS-InSAR derived subsidence rates using categorized GIS objects - A case study in the Mekong Delta

Nils Dörr, Andreas Schenk, Stefan Hinz, Karlsruhe Institute of Technology, Germany

WE4.O-9.3: Towards Automatic Functional Model Specification for Distributed Scatterers Using t-SNE

Philip Conroy, Ramon F. Hanssen, Delft University of Technology, Netherlands

WE4.O-9.4: ALIASING IN INSAR AND SBAS TIME SERIES

Karissa Pepin, Howard Zebker, Stanford University, United States

WE4.O-9.5: AUTOMATIC DETECTION OF INSAR DEFORMATION SIGNALS USING A REALISTIC TROPOSPHERIC TURBULENCE NOISE MODEL

Scott Staniewicz, Jingyi Chen, University of Texas at Austin, United States

WE4.O-9.6: IMPROVEMENTS IN THE LICSAR GENERATOR OF SENTINEL-1 INTERFEROGRAMS

Milan Lazecky, Yasser Maghsoudi, University of Leeds, United Kingdom; Fabien Albino, University of Bristol, United Kingdom; Andy Hooper, Tim Wright, University of Leeds, United Kingdom

AUTOMATIC DETECTION OF INSAR DEFORMATION SIGNALS USING A REALISTIC TROPOSPHERIC TURBULENCE NOISE MODEL

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