Name
Abstract | ||
|---|---|---|
Speckle noise greatly limits both synthetic aperture radar (SAR) data human readability, especially for non-SAR-expert users, and performance of automatic processing and information retrieval procedures by computer programs. Therefore, despeckling of SAR images is an essential preprocessing step in SAR data analysis, processing, and modeling, as well as in information retrieval and inversion proce... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2016.2520309 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Speckle,Noise reduction,Electromagnetic scattering,AWGN,Electromagnetics | Noise reduction,Computer vision,Speckle pattern,Synthetic aperture radar,Remote sensing,Electromagnetics,A priori and a posteriori,Inverse synthetic aperture radar,Preprocessor,Artificial intelligence,Speckle noise,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 6 | 0196-2892 |
Citations | PageRank | References |
10 | 0.55 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerardo Di Martino | 1 | 96 | 24.43 |
| Alessio Di Simone | 2 | 18 | 5.86 |
| Antonio Iodice | 3 | 453 | 73.07 |
| Daniele Riccio | 4 | 781 | 118.99 |