Name
Title | ||
|---|---|---|
An Improved Subspace-Based Optimization Method and Its Implementation in Solving Three-Dimensional Inverse Problems |
Abstract | ||
|---|---|---|
This paper proposes an improved subspace-based optimization method (SOM) by using a new construction method for the ambiguous part of the induced current. The new current construction method reduces not only the computational complexity of the current construction in every iteration of the optimization but also the computational complexity of the singular-value decomposition of the mapping from the induced current to scattered fields. Thus, the improved SOM is able to deal with the 3-D inverse-scattering problems. Numerical tests validate the algorithm. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TGRS.2010.2049744 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
computational complexity,inverse problems,iterative methods,optimisation,singular value decomposition,3-D inverse-scattering problems,computational complexity,current construction method,induced current,iteration,singular-value decomposition,subspace-based optimization method,three-dimensional inverse problems,3-D inverse problems,Inverse scattering,optimization | Iterative reconstruction,Singular value decomposition,Mathematical optimization,Subspace topology,Iterative method,Inverse problem,Construction method,Mathematics,Inverse scattering problem,Computational complexity theory | Journal |
Volume | Issue | ISSN |
48 | 10 | 0196-2892 |
Citations | PageRank | References |
4 | 0.50 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhong, Y. | 1 | 4 | 0.50 |
| Xudong Chen | 2 | 11 | 2.12 |
| Krishna Agarwal | 3 | 7 | 2.41 |