Generalized method for sampling spatially correlated heterogeneous speckled imagery
EURASIP Journal on Applied Signal Processing
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Estimators for the spectral density of the return in Synthetic Aperture Radar (SAR) images are studied using Monte Carlo experiences. The departure from the Gaussian law that SAR images exhibit will be modeled here by means of the K distribution. The empirical observation of structured data is modeled by the use of spatial correlation. There are two approaches to the problem of the presence of speckle noise, one being the use of techniques for its reduction (usually specially devised filters) and the other the proposal of methodologies that take its presence into account. These approaches will be compared here, to the problem of estimating the spatial correlation structure of the ground truth.