Ponencia en Congreso:
Methods and frameworks for sampling 𝒢I0 data

dc.contributor.authorChan, Debora
dc.contributor.authorRey, Andrea
dc.contributor.authorGambini, Juliana
dc.contributor.authorCassetti, Julia
dc.contributor.authorFrery, Alejandro C.
dc.date.accessioned2019-08-15T18:46:42Z
dc.date.available2019-08-15T18:46:42Z
dc.date.issued2017
dc.description.abstract"The 𝒢I0 distribution is a competitive tool for SAR image description. This distribution is useful for describing speckled imagery because it models adequately areas with different degrees of texture. Data simulation is crucial for the development of new methods of automatic interpretation of this type of images. We compare four alternatives for generating data under the 𝒢I0 distribution. The experiments are performed on a variety of programming languages and, a number of criteria to test the fidelity of the generated data are applied."en
dc.identifier.isbn978-1509-04-951-6
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/1712
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2017.8127630
dc.subjectLENGUAJES DE PROGRAMACIONes
dc.subjectRADAR DE APERTURA SINTETICAes
dc.subjectDISTRIBUCIONes
dc.titleMethods and frameworks for sampling 𝒢I0 dataen
dc.typePonencias en Congresoses
dc.typeinfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePonencia en Congreso
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: Cassetti, Julia. Universidad Nacional de General Sarmiento; Argentina.
itba.description.filiationFil: Frery, Alejandro C. Universidade Federal de Alagoas; Brasil.

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