Name
Title | ||
|---|---|---|
PolSAR Coherency Matrix Optimization Through Selective Unitary Rotations for Model-Based Decomposition Scheme |
Abstract | ||
|---|---|---|
In this letter, a special unitary SU(3) matrix group is exploited for coherency matrix transformations to decouple the energy between orthogonal states of polarization. This decoupling results in the minimization of the cross-polarization power along with the removal of some off-diagonal terms of coherency matrix. The proposed unitary transformations are utilized on the basis of the underlying dominant scattering mechanism. By doing so, the reduced power from the cross-polarization channel is always concentrated on the underlying dominant co-polar scattering component. This makes it unique in comparison to state-of-the-art techniques. The proposed methodology can be adopted to optimize the coherency matrix to be used for the model-based decomposition methods. To verify this, pioneer three-component decomposition model is implemented using the proposed optimized coherency matrix of two different test sites. The comparative studies are analyzed to show the improvements over state-of-the-art techniques. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LGRS.2018.2878654 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Scattering,Matrix decomposition,Minimization,Optimization,Azimuth,Couplings,Urban areas | Topology,Computer vision,Matrix (mathematics),Decoupling (cosmology),Matrix decomposition,Polarization (waves),Unitary state,Minification,Artificial intelligence,Transformation matrix,Mathematics,Matrix group | Journal |
Volume | Issue | ISSN |
16 | 4 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Himanshu Maurya | 1 | 0 | 1.01 |
| Rajib Kumar Panigrahi | 2 | 1 | 2.38 |