Bayesian Data Fusion for Enhanced Monitoring of Bridge Displacements Using Satellite InSAR and Topographic Techniques
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Bayesian Data Fusion for Enhanced Monitoring of Bridge Displacements Using Satellite InSAR and Topographic Techniques ; volume:29 ; number:7 ; year:2024
E-Journal of nondestructive testing ; 29, Heft 7 (2024)
- Urheber
-
Tonelli, Daniel
Zini, Mattia
Simeoni, Lucia
Zorzi, Stefano
Rocca, Alfredo
Perissin, Daniele
Costa, Carlo
Quattrociocchi, David
Zonta, Daniele
- DOI
-
10.58286/29688
- URN
-
urn:nbn:de:101:1-2502041132250.665331810251
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 05:27 UTC
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Tonelli, Daniel
- Zini, Mattia
- Simeoni, Lucia
- Zorzi, Stefano
- Rocca, Alfredo
- Perissin, Daniele
- Costa, Carlo
- Quattrociocchi, David
- Zonta, Daniele
Ähnliche Objekte (12)
Estimating three-dimensional displacements with InSAR: the strapdown approach
Combined DEM Extration Method from StereoSAR and InSAR
Flood Mapping Using InSAR Coherence Map
Enhancing infrastructure management with InSAR monitoring
InSAR processing for the recognition of landslides
Topographic analysis of retinal and choroidal vascular displacements after macular hole surgery
Hierarchical Bayesian analysis of high complexity data for the inversion of metric InSAR in urban environments
Identify Landslide Precursors from Time Series InSAR Results
Coseismic slip inversion based on InSAR arc measurements
Utilising InSAR for monitoring infrastructure at national scales
Long-range ground deformation monitoring by InSAR analysis
LiCSBAS : An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
Estimating three-dimensional displacements with InSAR: the strapdown approach
Combined DEM Extration Method from StereoSAR and InSAR
Flood Mapping Using InSAR Coherence Map
Enhancing infrastructure management with InSAR monitoring
InSAR processing for the recognition of landslides
Topographic analysis of retinal and choroidal vascular displacements after macular hole surgery
Hierarchical Bayesian analysis of high complexity data for the inversion of metric InSAR in urban environments
Identify Landslide Precursors from Time Series InSAR Results
Coseismic slip inversion based on InSAR arc measurements
Utilising InSAR for monitoring infrastructure at national scales
Long-range ground deformation monitoring by InSAR analysis
LiCSBAS : An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
Estimating three-dimensional displacements with InSAR: the strapdown approach
Combined DEM Extration Method from StereoSAR and InSAR
Flood Mapping Using InSAR Coherence Map
Enhancing infrastructure management with InSAR monitoring
InSAR processing for the recognition of landslides
Topographic analysis of retinal and choroidal vascular displacements after macular hole surgery
Hierarchical Bayesian analysis of high complexity data for the inversion of metric InSAR in urban environments
Identify Landslide Precursors from Time Series InSAR Results
Coseismic slip inversion based on InSAR arc measurements
Utilising InSAR for monitoring infrastructure at national scales
Long-range ground deformation monitoring by InSAR analysis