Generalized method for sampling spatially correlated heterogeneous speckled imagery

Authors:
Oscar H. Bustos;Ana G. Flesia;Alejandro C. Frery
Affiliations:
Facultad de Matemática Astronomía y Física, Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba, Argentina;Facultad de Matemática Astronomía y Física, Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba, Argentina;Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, Brazil
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2001

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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.