Simulation of Spatially Correlated Clutter Fields

OSCAR BUSTOS,; ANA G FLESIA,; ALEJANDRO FRERY,; MAGDALENA LUCINI

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Taylor and Francis

Lugar: Londres; Año: 2009 vol. 38 p. 2134 - 2151

0361-0918

Correlated G distributions can be used to describe the clutter seen in images obtained with coherent illumination, as is the case of B-scan ultrasound, laser, sonar and synthetic aperture radar (SAR) imagery. These distributions are derived using the square root of the generalized inverse Gaussian distribution for the amplitude backscatter within the multiplicative model.A two-parameters particular case of the amplitude G distribution, called GA0, constitutes a modeling improvement with respect to the widespread KA distribution when fitting urban, forested and deforested areas in remote sensing data. This article deals with the modeling and the simulation of correlated GA0-distributed random fields. It is accomplished by means of the Inverse Transform method, applied to Gaussian random fields with spatial correlation.The main feature of this approach is its generality, since it allows the introduction of negative correlation values in the resulting process, necessary for the proper explanation of the shadowing effect in many SAR images.