Characterization of scatterers by their anisotropic and dispersive behavior

Synthetic Aperture Radar (SAR) images built from received signals are high-resolution maps of the spatial distribution of the reflectivity function of targets. Conventional radar imaging assumes that all the scatterers are considered as bright points (isotropic for all observation angles and white i...

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Main Authors: Duquenoy, M., Ovarlez, J.-P., Ferro-Famil, L., Pottier, E., Vignaud, L.
Format: Conference Proceeding
Language:English
Subjects:
Anisotropic magnetoresistance
Dispersion
Matrix decomposition
Multidimensional systems
Polarimetry
Radar imaging
Radar scattering
Radar signal processing
Synthetic aperture radar
Time frequency analysis
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creator Duquenoy, M.
Ovarlez, J.-P.
Ferro-Famil, L.
Pottier, E.
Vignaud, L.
description Synthetic Aperture Radar (SAR) images built from received signals are high-resolution maps of the spatial distribution of the reflectivity function of targets. Conventional radar imaging assumes that all the scatterers are considered as bright points (isotropic for all observation angles and white in the frequency band) [1]. Recent studies based on multidimensional Time-Frequency Analysis describe the angular and frequency behavior of scatterers and show that they are anisotropic and dispersive [2]. Another useful information source in radar imaging is the polarimetry Studies based on multidimensional wavelet and coherent decompositions allow to represent the angular and frequency polarimetric behavior and show the non-stationarity of this behavior. The aim is to characterize scatterers by time-frequency analysis and polarimetry.
doi_str_mv 10.1109/IGARSS.2007.4424030
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Anisotropic magnetoresistance
Dispersion
Matrix decomposition
Multidimensional systems
Polarimetry
Radar imaging
Radar scattering
Radar signal processing
Synthetic aperture radar
Time frequency analysis
title Characterization of scatterers by their anisotropic and dispersive behavior
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