Quantitative estimation of physical parameters of the Earth's surface is currently an active area of research. Multidimensional synthetic aperture radar (SAR) systems appear in this framework as a tool capable of performing this task on a global scale and independently of the weather conditions. In particular, polarimetric SAR data have been successfully employed, in combination with different electromagnetic inversion algorithms, to extract physical information from measured data. Nevertheless, SAR data are affected by speckle noise. The influence of speckle noise and its filtering in the quantitative estimation of physical parameters is analysed. To perform this study, a novel model for speckle noise in multidimensional SAR data is considered. Finally, the effect on the quantitative estimation of surface parameters is investigated.
CitationLopez Martinez, C.; Hajnsek, I.; Lee, J. S.; Pottier, E.; Fabregas, X. Polarimetric speckle noise effects in quantitative physical parameters retrieval. IEE Proceedings-radar sonar and navigation, 2006, vol. 153, núm. 3, p. 250-259.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com