Compressive sensing reconstruction of 3D wet refractivity based on GNSS and InSAR observations
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1432-1394
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Compressive sensing reconstruction of 3D wet refractivity based on GNSS and InSAR observations ; day:2 ; month:6 ; year:2018 ; pages:1-21
Journal of geodesy ; (2.6.2018), 1-21
- Classification
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Geowissenschaften
- Creator
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Heublein, Marion
- Contributor
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Alshawaf, Fadwa
Erdnüß, Bastian
Zhu, Xiao Xiang
Hinz, Stefan
SpringerLink (Online service)
- DOI
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10.1007/s00190-018-1152-0
- URN
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urn:nbn:de:101:1-2018081511403414043771
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Heublein, Marion
- Alshawaf, Fadwa
- Erdnüß, Bastian
- Zhu, Xiao Xiang
- Hinz, Stefan
- SpringerLink (Online service)
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Aseismic fold growth in southwestern Taiwan detected by InSAR and GNSS
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The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data
Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations
Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations
A method for correcting InSAR interferogram errors using GNSS data and the K-means algorithm
Combined DEM Extration Method from StereoSAR and InSAR
Enhancing infrastructure management with InSAR monitoring
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Fine structure of a daytime mid-latitude sporadic-E revealed by GNSS TEC, InSAR, and MAI
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Aseismic fold growth in southwestern Taiwan detected by InSAR and GNSS
Combination of GNSS and InSAR measured at co-located geodetic monitoring sites
The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data
Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations
Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations
A method for correcting InSAR interferogram errors using GNSS data and the K-means algorithm
Combined DEM Extration Method from StereoSAR and InSAR
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