Name
Abstract | ||
|---|---|---|
This paper addresses the problem of reconstructing geometrical features of 3-D targets embedded into a nonaccessible region from multiview multistatic scattered field data. Sampling methods (SM) are simple and computationally effective approaches to pursue this task. However, their implementation requires a large number of multipolarization sources and probes. Moreover, their performances are often unsatisfactory for aspect-limited measurement configurations and lossy media. In order to tackle these drawbacks, usually faced in subsurface imaging, we propose a simplified and improved formulation based on the physical interpretation of SM. In particular, such a formulation relies on a small number of single polarization probes and exploits multifrequency data, for the first time in the framework of SM. The performances of the resulting approach are verified by monitoring 3-D regions of large extent. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TGRS.2008.921745 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | DocType | Volume |
buried object detection,electromagnetic wave polarisation,electromagnetic wave scattering,feature extraction,geophysical signal processing,geophysical techniques,sampling methods,3D buried target shape reconstruction,geometrical feature reconstruction,multifrequency data,multiview multistatic scattered field data,polarization probes,sampling methods,subsurface imaging,Electromagnetic scattering inverse problems,factorization method (FM),linear sampling method (LSM),microwave imaging,subsurface imaging | Journal | 46 |
Issue | ISSN | Citations |
10 | 0196-2892 | 12 |
PageRank | References | Authors |
0.90 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilaria Catapano | 1 | 105 | 16.35 |
| Lorenzo Crocco | 2 | 97 | 15.77 |
| Tommaso Isernia | 3 | 43 | 7.23 |