Name
Abstract | ||
|---|---|---|
In this paper we apply PolInSAR decomposition techniques to compact-pol SAR Interferometry. The complex cross-correlation matrix of single-baseline polarimetric SAR Interferometry is decomposed into three 2 × 2 scattering matrices corresponding to surface scattering, double scattering and random volume scattering. A numerical method is applied to solve the system of nonlinear equations involved in the decomposition procedure. According to the above decomposition procedure, the power contribution and vertical displacement may be obtained for each of the three scattering mechanisms, from compact-PolInSAR data. Finally we compare the compact-PolInSAR target decomposition results with those of quad-PolInSAR, to assess the ability and accuracy of compact-PolInSAR target decomposition. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IGARSS.2014.6947233 | IGARSS |
Keywords | Field | DocType |
synthetic aperture radar,random volume scattering,compact polarimetric sar interferometry,power contribution,freeman-durden decomposition,surface scattering,cross correlation matrix,vertical displacement,freeman durden decomposition,radar interferometry,nonlinear equations,radar polarimetry,double scattering,polarization,interferometry,matrix decomposition,vectors,azimuth | Nonlinear system,Matrix (mathematics),Computer science,Remote sensing,Optics,Interferometry,Scattering,Polarimetric sar,Numerical analysis,Vertical displacement,Decomposition | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shenglong Guo | 1 | 3 | 2.46 |
| Yang Li | 2 | 2 | 3.08 |
| Qiang Yin | 3 | 18 | 8.02 |
| Hao Chen | 4 | 87 | 16.52 |
| Ashlin Richardson | 5 | 5 | 2.87 |
| Wen Hong | 6 | 7 | 2.61 |