A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms
Istituto per il Rilevamento Elettromagnetico dell'Ambiente · National Research Council
Abstract
We present a new differential synthetic aperture radar (SAR) interferometry algorithm for monitoring the temporal evolution of surface deformations. The presented technique is based on an appropriate combination of differential interferograms produced by data pairs characterized by a small orbital separation (baseline) in order to limit the spatial decorrelation phenomena. The application of the singular value decomposition method allows us to easily "link" independent SAR acquisition datasets, separated by large baselines, thus increasing the observation temporal sampling rate. The availability of both spatial and temporal information in the processed data is used to identify and filter out atmospheric phase…
Citation impact
- FWCI
- 400.91
- Percentile
- 100%
- References
- 28
Authors
4- PBP. BerardinoCorresponding
Istituto per il Rilevamento Elettromagnetico dell'Ambiente, National Research Council
- GFG. Fornaro
Istituto per il Rilevamento Elettromagnetico dell'Ambiente, National Research Council
- RLRiccardo Lanari
Istituto per il Rilevamento Elettromagnetico dell'Ambiente, National Research Council
- ESE. Sansosti
National Research Council, Istituto per il Rilevamento Elettromagnetico dell'Ambiente
Topics & keywords
- Decorrelation
- Synthetic aperture radar
- Remote sensing
- Interferometry
- Algorithm
- Computer science
- Interferometric synthetic aperture radar
- Singular value decomposition
- Sustainable cities and communities