Fractional Order Processing of Satellite Images

Detalhes bibliográficos
Autor(a) principal: Henriques, Manuel
Data de Publicação: 2021
Outros Autores: Valério, Duarte, Melício, Rui
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/30982
https://doi.org/10.3390/app11115288
Resumo: Nowadays, satellite images are used in many applications, and their automatic processing is vital. Conventional integer grey-scale edge detection algorithms are often used for this. This study shows that the use of color-based, fractional order edge detection may enhance the results obtained using conventional techniques in satellite images. It also shows that it is possible to find a fixed set of parameters, allowing automatic detection while maintaining high performance.
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spelling Fractional Order Processing of Satellite Imagessatellite imagesfractional derivativeautomatic detectioncolor-based detectiongreyscale detectionfractional processingaerospacevery-high-resolution satelliteNowadays, satellite images are used in many applications, and their automatic processing is vital. Conventional integer grey-scale edge detection algorithms are often used for this. This study shows that the use of color-based, fractional order edge detection may enhance the results obtained using conventional techniques in satellite images. It also shows that it is possible to find a fixed set of parameters, allowing automatic detection while maintaining high performance.2022-01-31T15:47:26Z2022-01-312021-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/30982http://hdl.handle.net/10174/30982https://doi.org/10.3390/app11115288engndndruimelicio@gmail.com246Henriques, ManuelValério, DuarteMelício, Ruiinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:29:01Zoai:dspace.uevora.pt:10174/30982Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:20:06.892664Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Fractional Order Processing of Satellite Images
title Fractional Order Processing of Satellite Images
spellingShingle Fractional Order Processing of Satellite Images
Henriques, Manuel
satellite images
fractional derivative
automatic detection
color-based detection
greyscale detection
fractional processing
aerospace
very-high-resolution satellite
title_short Fractional Order Processing of Satellite Images
title_full Fractional Order Processing of Satellite Images
title_fullStr Fractional Order Processing of Satellite Images
title_full_unstemmed Fractional Order Processing of Satellite Images
title_sort Fractional Order Processing of Satellite Images
author Henriques, Manuel
author_facet Henriques, Manuel
Valério, Duarte
Melício, Rui
author_role author
author2 Valério, Duarte
Melício, Rui
author2_role author
author
dc.contributor.author.fl_str_mv Henriques, Manuel
Valério, Duarte
Melício, Rui
dc.subject.por.fl_str_mv satellite images
fractional derivative
automatic detection
color-based detection
greyscale detection
fractional processing
aerospace
very-high-resolution satellite
topic satellite images
fractional derivative
automatic detection
color-based detection
greyscale detection
fractional processing
aerospace
very-high-resolution satellite
description Nowadays, satellite images are used in many applications, and their automatic processing is vital. Conventional integer grey-scale edge detection algorithms are often used for this. This study shows that the use of color-based, fractional order edge detection may enhance the results obtained using conventional techniques in satellite images. It also shows that it is possible to find a fixed set of parameters, allowing automatic detection while maintaining high performance.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01T00:00:00Z
2022-01-31T15:47:26Z
2022-01-31
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/30982
http://hdl.handle.net/10174/30982
https://doi.org/10.3390/app11115288
url http://hdl.handle.net/10174/30982
https://doi.org/10.3390/app11115288
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv nd
nd
ruimelicio@gmail.com
246
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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