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EURASIP Journal on Advances in Signal Processing
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Generalized Method for Sampling Spatially Correlated Heterogeneous Speckled Imagery

EURASIP Journal on Advances in Signal Processing volume 2001, Article number: 726342 (2001) Cite this article

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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Authors and Affiliations

  1. Facultad de Matemática Astronomía y Física, Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba, 5000, Argentina

    Oscar H. Bustos & Ana G. Flesia

  2. Centro de Informática, Universidade Federal de Pernambuco, CP 7851, Recife, PE, 54310-070, Brazil

    Alejandro C. Frery

Authors
  1. Oscar H. Bustos
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  2. Ana G. Flesia
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  3. Alejandro C. Frery
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Correspondence to Oscar H. Bustos.

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Bustos, O.H., Flesia, A.G. & Frery, A.C. Generalized Method for Sampling Spatially Correlated Heterogeneous Speckled Imagery. EURASIP J. Adv. Signal Process. 2001, 726342 (2001). https://doi.org/10.1155/S1110865701000166

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  • DOI: https://doi.org/10.1155/S1110865701000166

Keywords

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