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Generalized Method for Sampling Spatially Correlated Heterogeneous Speckled Imagery

Abstract

This paper presents a general result for the simulation of correlated heterogeneous targets, which are present in images corrupted by speckle noise. This technique is based on the use of a correlation mask and Gaussian random variables, in order to obtain spatially dependent Gamma deviates. These Gamma random variables, in turn, allow the obtainment of correlated deviates with specified correlation structure. The theoretical properties of the procedure are presented, along with the corresponding algorithm.

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Correspondence to Oscar H. Bustos.

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Keywords

  • image modelling
  • speckle noise
  • spatial correlation
  • stochastic simulation