Name
Title | ||
|---|---|---|
An estimation method for InSAR interferometric phase combined with image auto-coregistration |
Abstract | ||
|---|---|---|
In this paper we propose a method to estimate the InSAR interferometric phase of the steep terrain based on the terrain model
of local plane by using the joint subspace projection technique proposed in our previous paper. The method takes advantage
of the coherence information of neighboring pixel pairs to auto-coregister the SAR images and employs the projection of the
joint signal subspace onto the corresponding joint noise subspace to estimate the terrain interferometric phase. The method
can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously. Theoretical analysis and computer
simulation results show that the method can provide accurate estimate of the interferometric phase (interferogram) of very
steep terrain even if the coregistration error reaches one pixel. The effectiveness of the method is verified via simulated
data and real data. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s11432-006-0386-2 | Science in China Series F: Information Sciences |
Keywords | DocType | Volume |
interfer- ometric phase,eigen-decomposition,local plane.,single-baseline,synthetic aperture radar interferometry (insar),image coregistration,subspace projection,phase noise,computer simulation | Journal | 49 |
Issue | ISSN | Citations |
03 | 1862-2836 | 3 |
PageRank | References | Authors |
0.45 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| hai li | 1 | 3 | 0.45 |
| Zhenfang Li | 2 | 103 | 11.78 |
| Guisheng Liao | 3 | 996 | 126.36 |
| Zheng Bao | 4 | 1985 | 155.03 |