Data-Driven Prediction Of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling-Reference-Cited by-同舟云学术

Data-Driven Prediction Of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling

Published:2024-07-07 Issue: Volume: Page:8669-8673
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Stein Gideon¹,Ziemer Jonas²,Wicker Carolin³,Jänichen Jannik²,Demisch Gabriele³,Klöpper Daniel³,Last Katja³,Denzler Joachim¹,Schmullius Christiane²,Shadaydeh Maha¹,Dubois Clémence²

Affiliation:

1. Friedrich Schiller University Jena,Computer Vision Group,Jena,Germany,07743

2. Friedrich Schiller University Jena,Department for Earth Observation,Jena,Germany,07743

3. Ruhrverband,Essen,Germany,45128

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642253.pdf?arnumber=10642253

Reference8 articles.

1. DIN 19700-10:2004-07, Stauanlagen- Teil 10: Gemeinsame Festlegungen,2019

2. Persistent Scatterer Interferometry: A review

3. Monitoring of Radial Deformations of a Gravity Dam Using Sentinel-1 Persistent Scatterer Interferometry

4. Sensor Fusion for detecting Deformation Patterns of Gravity Dams in Germany using SAR Interferometry;Ziemer,2024

5. BodenBewegungsdienst Deutschland (BBD): Konzept, Umsetzung und Service-Plattform;Kalia;ZfV-Zeitschrift für Geodäsie, Geoinformation und Landmanagement,2021

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1. Dam Monitoring With Ground Motion Services – A Case Study of a Gravity Dam with the German Ground Motion Service;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07