Name
Abstract | ||
|---|---|---|
This paper presents speckle noise removal from synthetic aperture radar data. A novelty in this paper is removing of speckle noise using complex valued SAR data using optimal dual based l1 analysis approach. Paper presents complex valued computation of optimal dual frame l1 analysis using quasi Newton approach. Complex valued regularization is performed using single polarized SAR image and interferometric pair. It was shown that quasi Newton complex valued estimation of single SAR image does not influence on phase, but changes only amplitude part of complex valued SAR data. The proposed method well suppresses speckle noise from single look SAR images was achieves good results compared with the state of the art methods. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IWSSIP.2016.7502732 | 2016 International Conference on Systems, Signals and Image Processing (IWSSIP) |
Keywords | Field | DocType |
Synthetic Aperture Radar,Image Enhancing,speckle | Iterative reconstruction,Computer vision,Radar imaging,Speckle pattern,Computer science,Side looking airborne radar,Synthetic aperture radar,Inverse synthetic aperture radar,Regularization (mathematics),Artificial intelligence,Speckle noise | Conference |
ISSN | Citations | PageRank |
2157-8672 | 0 | 0.34 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Du¿an Gleich | 1 | 95 | 7.17 |
| P. Planinšič | 2 | 27 | 7.70 |