EURASIP Journal on Applied Signal Processing 
Volume 2001 (2001), Issue 2, Pages 89-99
doi:10.1155/S1110865701000166

Generalized Method for Sampling Spatially Correlated Heterogeneous Speckled Imagery

Oscar H. Bustos,1 Ana G. Flesia,1 and Alejandro C. Frery2

 1Facultad de Matemática Astronomía y Física, Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba 5000 , Argentina
2Centro de Informática, Universidade Federal de Pernambuco, CP 7851, Recife 54310-070, PE, Brazil
Received 10 January 2000; Revised 4 April 2001

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 𝒦 deviates with specified correlation structure. The theoretical properties of the procedure are presented, along with the corresponding algorithm.