Application Techniques of Digital Image Processing in Different Orbital Sensors

Detalhes bibliográficos
Autor(a) principal: Pereira, Luciana Escalante
Data de Publicação: 2016
Outros Autores: Lastoria, Giancarlo, Paranhos Filho, Antonio Conceição, Marcato Júnior, José
Tipo de documento: Artigo
Idioma: por
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/7009
Resumo: Remote sensing is an applied science in various fields of knowledge, which makes its use becoming more widespread. In recent years, the availability of free remote sensing data has also fueled this growth. Thus, the analysis processing techniques to improve the product becomes necessary to use the best way the available data. Targeting this, the aim of this study was to evaluate the application of imaging techniques in different orbital sensors, analyzing delimitation capacity of water bodies. The processing techniques were performed spatial enhancement or image fusion, radiometric and atmospheric correction, processed in 5 different sensors: TM, ETM+, CCD, HRC and OLI. For the analysis of the results were used five water bodies of different proportions. The measurement of water bodies was carried out on all images subsequently being calculated imprecision rate. In two water bodies to some imprecision sensor rate was greater than 100%.
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spelling Application Techniques of Digital Image Processing in Different Orbital SensorsAplicação de Técnicas de Processamento Digital de Imagens em Diferentes Sensores OrbitaisWater body; Remote sensing; Free geotechnologies; Sensor systems.Corpo d'água; Sensoriamento remoto; Geotecnologias gratuitas; Sistemas sensores.Remote sensing is an applied science in various fields of knowledge, which makes its use becoming more widespread. In recent years, the availability of free remote sensing data has also fueled this growth. Thus, the analysis processing techniques to improve the product becomes necessary to use the best way the available data. Targeting this, the aim of this study was to evaluate the application of imaging techniques in different orbital sensors, analyzing delimitation capacity of water bodies. The processing techniques were performed spatial enhancement or image fusion, radiometric and atmospheric correction, processed in 5 different sensors: TM, ETM+, CCD, HRC and OLI. For the analysis of the results were used five water bodies of different proportions. The measurement of water bodies was carried out on all images subsequently being calculated imprecision rate. In two water bodies to some imprecision sensor rate was greater than 100%.O sensoriamento remoto é uma ciência aplicada em várias áreas do conhecimento, o que torna o seu uso cada vez mais difundido. Nos últimos anos, a disponibilização de dados de sensoriamento remoto de forma gratuita também tem impulsionado esse crescimento. Dessa forma, a análise de técnicas de processamento que visam melhorar o produto se torna necessária para se usufruir a melhor maneira dos dados disponibilizados. O objetivo do trabalho é avaliar a aplicação de técnicas de processamento de imagens em diferentes sensores orbitais, analisando a capacidade de delimitação de corpos d' água. As técnicas de processamento realizadas foram o realce espacial (fusão de imagens), a correção radiométrica e a atmosférica, processadas em 5 diferentes sensores: TM, ETM+, CCD, HRC e OLI. Para a análise dos resultados foram utilizados 5 corpos d'água de diferentes proporções. Considerando as imagens sem processamento e as que passaram por algum processamento digital, foram analisadas 16 imagens. A mensuração dos corpos d'água foi realizada em todas as imagens, subsequentemente, sendo calculada a taxa de imprecisão. Em dois corpos d'água a taxa de imprecisão anotada por alguns sensores foi superior a 100%.Universidade Federal do Rio de Janeiro2016-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/700910.11137//2016_3_15_24Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 15-24Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 15-241982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/7009/5576Copyright (c) 2016 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPereira, Luciana EscalanteLastoria, GiancarloParanhos Filho, Antonio ConceiçãoMarcato Júnior, José2017-02-15T18:21:53Zoai:www.revistas.ufrj.br:article/7009Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-02-15T18:21:53Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Application Techniques of Digital Image Processing in Different Orbital Sensors
Aplicação de Técnicas de Processamento Digital de Imagens em Diferentes Sensores Orbitais
title Application Techniques of Digital Image Processing in Different Orbital Sensors
spellingShingle Application Techniques of Digital Image Processing in Different Orbital Sensors
Pereira, Luciana Escalante
Water body; Remote sensing; Free geotechnologies; Sensor systems.
Corpo d'água; Sensoriamento remoto; Geotecnologias gratuitas; Sistemas sensores.
title_short Application Techniques of Digital Image Processing in Different Orbital Sensors
title_full Application Techniques of Digital Image Processing in Different Orbital Sensors
title_fullStr Application Techniques of Digital Image Processing in Different Orbital Sensors
title_full_unstemmed Application Techniques of Digital Image Processing in Different Orbital Sensors
title_sort Application Techniques of Digital Image Processing in Different Orbital Sensors
author Pereira, Luciana Escalante
author_facet Pereira, Luciana Escalante
Lastoria, Giancarlo
Paranhos Filho, Antonio Conceição
Marcato Júnior, José
author_role author
author2 Lastoria, Giancarlo
Paranhos Filho, Antonio Conceição
Marcato Júnior, José
author2_role author
author
author
dc.contributor.author.fl_str_mv Pereira, Luciana Escalante
Lastoria, Giancarlo
Paranhos Filho, Antonio Conceição
Marcato Júnior, José
dc.subject.por.fl_str_mv Water body; Remote sensing; Free geotechnologies; Sensor systems.
Corpo d'água; Sensoriamento remoto; Geotecnologias gratuitas; Sistemas sensores.
topic Water body; Remote sensing; Free geotechnologies; Sensor systems.
Corpo d'água; Sensoriamento remoto; Geotecnologias gratuitas; Sistemas sensores.
description Remote sensing is an applied science in various fields of knowledge, which makes its use becoming more widespread. In recent years, the availability of free remote sensing data has also fueled this growth. Thus, the analysis processing techniques to improve the product becomes necessary to use the best way the available data. Targeting this, the aim of this study was to evaluate the application of imaging techniques in different orbital sensors, analyzing delimitation capacity of water bodies. The processing techniques were performed spatial enhancement or image fusion, radiometric and atmospheric correction, processed in 5 different sensors: TM, ETM+, CCD, HRC and OLI. For the analysis of the results were used five water bodies of different proportions. The measurement of water bodies was carried out on all images subsequently being calculated imprecision rate. In two water bodies to some imprecision sensor rate was greater than 100%.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-03
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/7009
10.11137//2016_3_15_24
url https://revistas.ufrj.br/index.php/aigeo/article/view/7009
identifier_str_mv 10.11137//2016_3_15_24
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/7009/5576
dc.rights.driver.fl_str_mv Copyright (c) 2016 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 15-24
Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 15-24
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
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reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
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