Statistical properties of speckle and full polarimetric filters in SAR
| Autor: | A. Lopes, F. Sery |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Synthetic aperture radar
Pulse-Doppler radar business.industry Computer science Covariance matrix Polarimetry Speckle noise Statistical model Side looking airborne radar Filter (signal processing) Continuous-wave radar Inverse synthetic aperture radar Bistatic radar Speckle pattern Computer Science::Graphics Radar engineering details Radar imaging Interferometric synthetic aperture radar Computer vision Artificial intelligence business Algorithm |
| Zdroj: | IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development. |
| DOI: | 10.1109/igarss.1997.615249 |
| Popis: | Reducing the speckle effects in polarimetric data implies the use of statistical models for the speckle. A well known model is the product model which assumes the same texture variable for all the elements of the covariance matrix (CM). The authors present 2 models which allow differences between channels. For each model, a filtering technique is also presented. Finally, an analysis of texture variations is realized on several natural and non natural clutters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|