Sampling from the I0 distribution

"Synthetic Aperture Radar (SAR) images are widely used in several environmental applications because they provide information which cannot be obtained with other sensors. The I0 distribution is an important model for these images because of its flexibility (it provides a suitable way for model...

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Autores principales: Chan, Debora, Rey, Andrea, Gambini, Juliana, Frery, Alejandro C.
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
LENGUAJES DE PROGRAMACION
MUESTREO
RADAR DE APERTURA SINTETICA
DISTRIBUCION
SIMULACION
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1618
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1618
record_format dspace
spelling I32-R138-123456789-16182022-12-07T13:07:02Z Sampling from the I0 distribution Chan, Debora Rey, Andrea Gambini, Juliana Frery, Alejandro C. LENGUAJES DE PROGRAMACION MUESTREO RADAR DE APERTURA SINTETICA DISTRIBUCION SIMULACION "Synthetic Aperture Radar (SAR) images are widely used in several environmental applications because they provide information which cannot be obtained with other sensors. The I0 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 I0 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." 2019-06-18T14:55:50Z 2019-06-18T14:55:50Z 2018-12 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion 0929-9629 http://ri.itba.edu.ar/handle/123456789/1618 en info:eu-repo/semantics/altIdentifier/doi/10.1515/mcma-2018-2023 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic LENGUAJES DE PROGRAMACION
MUESTREO
RADAR DE APERTURA SINTETICA
DISTRIBUCION
SIMULACION
spellingShingle LENGUAJES DE PROGRAMACION
MUESTREO
RADAR DE APERTURA SINTETICA
DISTRIBUCION
SIMULACION
Chan, Debora
Rey, Andrea
Gambini, Juliana
Frery, Alejandro C.
Sampling from the I0 distribution
topic_facet LENGUAJES DE PROGRAMACION
MUESTREO
RADAR DE APERTURA SINTETICA
DISTRIBUCION
SIMULACION
description "Synthetic Aperture Radar (SAR) images are widely used in several environmental applications because they provide information which cannot be obtained with other sensors. The I0 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 I0 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."
format Artículos de Publicaciones Periódicas
acceptedVersion
author Chan, Debora
Rey, Andrea
Gambini, Juliana
Frery, Alejandro C.
author_facet Chan, Debora
Rey, Andrea
Gambini, Juliana
Frery, Alejandro C.
author_sort Chan, Debora
title Sampling from the I0 distribution
title_short Sampling from the I0 distribution
title_full Sampling from the I0 distribution
title_fullStr Sampling from the I0 distribution
title_full_unstemmed Sampling from the I0 distribution
title_sort sampling from the i0 distribution
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1618
work_keys_str_mv AT chandebora samplingfromthei0distribution
AT reyandrea samplingfromthei0distribution
AT gambinijuliana samplingfromthei0distribution
AT freryalejandroc samplingfromthei0distribution
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