Name
Title | ||
|---|---|---|
A "Real-like" polarimetric weather radar data generation using physical and statistical models |
Abstract | ||
|---|---|---|
Realistic model of rain radar returns is of interest to improve the performances of rainfull estimation applications and to develop new approximations in case of lack of measured data-bases. In this paper, we propose a method to generate a "Real-like" polarimetric rain radar data based on a dual approach referring to both a physical and a statistical models of rain target. Combining informations from these two models accords us an opportunity to obtain more realistic results than a single model based approach. Theoretical foundation of the actual work was exposed all along the paper. An example of data generation, for a fixed physical configuration, was given so as to illustrate comparison between ideal and realistic rain radar data. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICECS.2005.4633509 | Gammarth |
Keywords | Field | DocType |
meteorological radar,radar polarimetry,rain,remote sensing by radar,polarimetric weather radar data generation,rain drops physical model,rainfull estimation application,real-like polarimetric rain radar,remote sensing application,statistical model | Radar engineering details,Radar,Weather radar,Computer science,Early-warning radar,Remote sensing,Man-portable radar,Wave radar,3D radar,Radar configurations and types | Conference |
ISBN | Citations | PageRank |
978-9972-61-100-1 | 1 | 0.48 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amor Elmzoughi | 1 | 1 | 0.48 |
| Riadh Abdelfattah | 2 | 54 | 14.04 |
| Ziad Belhadj | 3 | 125 | 10.56 |
| Veronica Santalla del Rio | 4 | 1 | 0.48 |