Artículo
Simulation of spatially correlated clutter fields
Fecha de publicación:
11/2009
Editorial:
Taylor
Revista:
Communications In Statistics-simulation And Computation
ISSN:
0361-0918
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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-parameter particular case of the amplitude G distribution, called, 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-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. © 2009 Taylor & Francis Group, LLC.
Palabras clave:
Image Modeling
,
Simulation
,
Spatial Correlation
,
Speckle
Archivos asociados
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Identificadores
Colecciones
Articulos(CCT - NORDESTE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - NORDESTE
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - NORDESTE
Citación
Bustos, Oscar Humberto; Flesia, Ana Georgina; Frery, Alejandro César; Lucini, María Magdalena; Simulation of spatially correlated clutter fields; Taylor ; Communications In Statistics-simulation And Computation; 38; 10; 11-2009; 2134-2151
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