Name
Abstract | ||
|---|---|---|
Removing the topographic component in the interferometric synthetic aperture radar (InSAR) phase is conventionally conducted using an external digital elevation model (DEM). However, with an increasing spatial resolution of SAR data, the external DEM is becoming less qualified for this purpose, resulting in notable phase residues and even decorrelation in differential interferograms. Although topographic residuals can be parameterized and estimated by multi-temporal InSAR (MTInSAR) techniques, its accuracy is limited by several factors. Instead of providing accurate height information, shortening the length of baselines is an alternative for DEM phase mitigation. We propose here an MTInSAR processing framework that can retrieve the deformation time series without the estimation of topographic residuals. Within the framework, we generate a set of pseudo interferograms with near-zero baselines by integer combination and take these pseudo interferograms as observations of MTInSAR model, where deformation becomes the only signal that needs to be parameterized. The deformation time series is then retrieved directly from wrapped phases by ridge estimation with an integer ambiguity detector. It is noted that although atmospheric artifacts might be magnified during the combination, their differential components at arcs constructed with neighboring points that are not significantly enlarged. The proposed method is particularly suitable for infrastructure deformation monitoring in urban areas where no accurate external DEM is available. It also has promising potential for retrieving deformation from SAR data stacks with short acquisition intervals since the combination can enlarge the signal of interests in pseudo-observations. Semisynthetic and real data tests indicate that the proposed method has satisfied performance on DEM error mitigation and deformation time series estimation. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2925115 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Strain,Synthetic aperture radar,Estimation,Deformable models,Time series analysis,Radar imaging | Time series,Radar imaging,Interferometric synthetic aperture radar,Decorrelation,Deformation monitoring,Topographic map,Synthetic aperture radar,Remote sensing,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 11 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Zhang | 1 | 90 | 14.86 |
| Hongguo Jia | 2 | 0 | 0.34 |
| zhong lu | 3 | 40 | 18.20 |
| Hongyu Liang | 4 | 84 | 16.39 |
| Xiao-Li Ding | 5 | 171 | 29.90 |
| Xin Li | 6 | 0 | 1.35 |