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Parametric versus non-parametric complex-values image analysis

The paper dwells into the comparison of parametric and non-parametric complex-valued 2D signal analysis, focusing the attention on complex-valued sub-meter SAR image data. The work is based on the study carried out in [1][2], [3][4] and [5]. In [1][2] a parametric Gauss-Markov Random Field (GMRF) model has been proposed for texture analysis and in [3][4] a time-frequency analysis (TFA) method has been proposed as a nonparametric approach for classification scheme of different targets with different backscattering behaviors. In [5], the authors consider the source of the anisotropy, i.e. the geometric and volumetric scatterers, and present a general characterization of azimuthal anisotropy based on a sub-aperture pyramid which is a set of sub-apertures arranged in a pyramidal fashion: the collection of sub-apertures provides a multi resolution representation of SAR data.