Please use this identifier to cite or link to this item:
http://hdl.handle.net/2117/2060
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| Title: | Polarimetric speckle noise effects in quantitative physical parameters retrieval |
| Authors: | López Martínez, Carlos
Hajnsek, I.
Lee, J. S.
Pottier, Eric
Fàbregas Cànovas, Xavier |
| Other authors: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
| Keywords: | Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions::Radiocomunicació i exploració electromagnètica::Teledetecció
Electromagnetic waves
Computer software
Optical instruments
Radar
Polarimeters
Parameter estimation
Synthetic aperture radar
Electromagnetic waves
Algorithms
Noise effects
Parameters retrieval
Weather conditions
Electromagnetic inversion algorithms
Ones electromagnètiques
Software d'ordinadors
Instruments òptics
Radar |
| Publisher: | IEE-INST ELEC ENG |
| Abstract: | 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.
Peer reviewed |
| Appears in Collections: | Documents de recerca
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