artículo de publicación periódica.page.titleprefix
Sampling from the 𝒢I0 distribution

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dc.contributor.authorChan, Debora
dc.contributor.authorRey, Andrea
dc.contributor.authorGambini, Juliana
dc.contributor.authorFrery, Alejandro C.
dc.date.accessioned2019-06-18T14:55:50Z
dc.date.available2019-06-18T14:55:50Z
dc.date.issued2018-12
dc.description.abstract"Synthetic Aperture Radar (SAR) images are widely used in several environmental applications because they provide information which cannot be obtained with other sensors. The 𝒢I0 distribution is an important model for these images because of its flexibility (it provides a suitable way for modeling areas with different degrees of texture, reflectivity and signal-to-noise ratio) and tractability (it is closely related to the Snedekor-F, Pareto Type II, and Gamma distributions). Simulated data are important for devising tools for SAR image processing, analysis and interpretation, among other applications. We compare four ways for sampling data that follow the 𝒢I0 distribution, using several criteria for assessing the quality of the generated data and the consumed processing time. The experiments are performed running codes in four different programming languages. The experimental results indicate that although there is no overall best method in all the considered programming languages, it is possible to make specific recommendations for each one."en
dc.identifier.issn0929-9629
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/1618
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1515/mcma-2018-2023
dc.subjectLENGUAJES DE PROGRAMACIONes
dc.subjectMUESTREOes
dc.subjectRADAR DE APERTURA SINTETICAes
dc.subjectDISTRIBUCIONes
dc.subjectSIMULACIONes
dc.titleSampling from the 𝒢I0 distributionen
dc.typeArtículos de Publicaciones Periódicases
dc.typeinfo:eu-repo/semantics/acceptedVersion
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Chan, Debora. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina.
itba.description.filiationFil: Rey, Andrea. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina.
itba.description.filiationFil: Gambini, Juliana. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Gambini, Juliana. Universidad Nacional de Tres de Febrero; Argentina.
itba.description.filiationFil: Frery, Alejandro C. Universidade Federal de Alagoas; Brasil.

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