Name
Abstract | ||
|---|---|---|
We propose a new approach to synthetic aperture radar (SAR) despeckling, based on the combination of multiple alternative estimates of the same data. The many despeckling methods proposed in the literature possess different and often complementary strengths and weaknesses. Given a reliable pixelwise characterization of the image, one can take advantage of this diversity by selecting the most appro... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2561624 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Speckle,Wavelet transforms,Remote sensing,Reliability,Atmospheric measurements,Particle measurements | Computer vision,Radar imaging,Homogeneity (statistics),Speckle pattern,Synthetic aperture radar,Remote sensing,Inverse synthetic aperture radar,Artificial intelligence,SIMPLE algorithm,Mathematics,Estimator,Wavelet transform | Journal |
Volume | Issue | ISSN |
9 | 6 | 1939-1404 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego Gragnaniello | 1 | 162 | 12.51 |
| Giovanni Poggi | 2 | 655 | 53.64 |
| Giuseppe Scarpa | 3 | 204 | 23.23 |
| Luisa Verdoliva | 4 | 971 | 57.12 |