Name
Abstract | ||
|---|---|---|
Traditional subspace-based image processing treats the target as a collection of scattering points whose phase component is dependent only on phase change due to target motion. Physical scattering mechanisms can result in magnitude and phase components outside this model and defocusing of scatterers in the resulting image. Two methods are presented which can compensate for the defocusing of targets in subspace-based images due to physical scattering phenomena. The focusing effectiveness of these two methods are demonstrated and compared. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7730315 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Field | DocType | ISSN |
Compensation methods,Magnitude (mathematics),Computer vision,Multiple signal classification,Subspace topology,Computer science,Phase change,Image processing,Artificial intelligence,Scattering,Image resolution | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mitchell, J. | 1 | 5 | 2.14 |
| Saibun Tjuatja | 2 | 10 | 8.30 |
| Jonathan W. Bredow | 3 | 9 | 1.64 |