Name
Abstract | ||
|---|---|---|
In this paper we present a physical model for the description of the speckle in Synthetic Aperture Radar (SAR) images. The proposed model highlights the analytical dependence of the speckle characteristics on the surface roughness and the sensor parameters. The illuminated surface is represented using the fractal geometry. In addition, a SAR raw signal simulator able to generate SAR images whose speckle characteristics are coherent with the observed surface properties is presented. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IGARSS.2010.5649378 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
image resolution,radar imaging,speckle,surface roughness,synthetic aperture radar,SAR raw signal simulator,fractal geometry,high resolution SAR images,illuminated surface,physical model,sensor parameters,speckle characteristics,surface properties,surface roughness,synthetic aperture radar,Synthetic aperture radar,speckle | Speckle pattern,Computer science,Synthetic aperture radar,Remote sensing,Artificial intelligence,Speckle noise,Computer vision,Radar imaging,Surface wave,Fractal,Optics,Image resolution,Surface roughness | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 1 |
PageRank | References | Authors |
0.41 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerardo Di Martino | 1 | 117 | 12.23 |
| A. Iodice | 2 | 158 | 17.58 |
| Daniele Riccio | 3 | 781 | 118.99 |
| Ruello, Giuseppe | 4 | 77 | 9.35 |