Application of multifractal analysis to segmentation of water bodies in optical satellite images

Autores
San Martin, Victor Manuel; Figliola, Maria Alejandra
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, we study the characteristics of multifractal spectra obtained for remote sensing images through the coarse theory and propose a method for segmentation of water bodies based on it. In the first place, spectra of self-similar images created with Iterated Function Systems are calculated and compared with their statistical spectra. Then, optical remote sensing images are studied, emphasizing the differences between their spectra and those obtained for synthetic images. Attention is focused on the concavity of real image spectra and on its interpretation in terms of the analyzed images. This led us to the proposition of a segmentation method for water bodies. The method is tested and the results are compared with water masks of the regions under study. Comments are made about the limitations of the proposed method.
Fil: San Martin, Victor Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
Fil: Figliola, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
Materia
MULTIFRACTAL ANALYSIS
REMOTE SENSING IMAGES
SEGMENTATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/75219
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/75219
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Application of multifractal analysis to segmentation of water bodies in optical satellite imagesSan Martin, Victor ManuelFigliola, Maria AlejandraMULTIFRACTAL ANALYSISREMOTE SENSING IMAGESSEGMENTATIONhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In this paper, we study the characteristics of multifractal spectra obtained for remote sensing images through the coarse theory and propose a method for segmentation of water bodies based on it. In the first place, spectra of self-similar images created with Iterated Function Systems are calculated and compared with their statistical spectra. Then, optical remote sensing images are studied, emphasizing the differences between their spectra and those obtained for synthetic images. Attention is focused on the concavity of real image spectra and on its interpretation in terms of the analyzed images. This led us to the proposition of a segmentation method for water bodies. The method is tested and the results are compared with water masks of the regions under study. Comments are made about the limitations of the proposed method.Fil: San Martin, Victor Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; ArgentinaFil: Figliola, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; ArgentinaPaper in Physics2017-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/75219San Martin, Victor Manuel; Figliola, Maria Alejandra; Application of multifractal analysis to segmentation of water bodies in optical satellite images; Paper in Physics; Papers in Physics; 9; 9-2017; 1-141852-4249CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.4279/PIP.090007info:eu-repo/semantics/altIdentifier/url/https://www.papersinphysics.org/papersinphysics/article/view/395info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:05:17Zoai:ri.conicet.gov.ar:11336/75219instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:05:18.22CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of multifractal analysis to segmentation of water bodies in optical satellite images
title Application of multifractal analysis to segmentation of water bodies in optical satellite images
spellingShingle Application of multifractal analysis to segmentation of water bodies in optical satellite images
San Martin, Victor Manuel
MULTIFRACTAL ANALYSIS
REMOTE SENSING IMAGES
SEGMENTATION
title_short Application of multifractal analysis to segmentation of water bodies in optical satellite images
title_full Application of multifractal analysis to segmentation of water bodies in optical satellite images
title_fullStr Application of multifractal analysis to segmentation of water bodies in optical satellite images
title_full_unstemmed Application of multifractal analysis to segmentation of water bodies in optical satellite images
title_sort Application of multifractal analysis to segmentation of water bodies in optical satellite images
dc.creator.none.fl_str_mv San Martin, Victor Manuel
Figliola, Maria Alejandra
author San Martin, Victor Manuel
author_facet San Martin, Victor Manuel
Figliola, Maria Alejandra
author_role author
author2 Figliola, Maria Alejandra
author2_role author
dc.subject.none.fl_str_mv MULTIFRACTAL ANALYSIS
REMOTE SENSING IMAGES
SEGMENTATION
topic MULTIFRACTAL ANALYSIS
REMOTE SENSING IMAGES
SEGMENTATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this paper, we study the characteristics of multifractal spectra obtained for remote sensing images through the coarse theory and propose a method for segmentation of water bodies based on it. In the first place, spectra of self-similar images created with Iterated Function Systems are calculated and compared with their statistical spectra. Then, optical remote sensing images are studied, emphasizing the differences between their spectra and those obtained for synthetic images. Attention is focused on the concavity of real image spectra and on its interpretation in terms of the analyzed images. This led us to the proposition of a segmentation method for water bodies. The method is tested and the results are compared with water masks of the regions under study. Comments are made about the limitations of the proposed method.
Fil: San Martin, Victor Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
Fil: Figliola, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
description In this paper, we study the characteristics of multifractal spectra obtained for remote sensing images through the coarse theory and propose a method for segmentation of water bodies based on it. In the first place, spectra of self-similar images created with Iterated Function Systems are calculated and compared with their statistical spectra. Then, optical remote sensing images are studied, emphasizing the differences between their spectra and those obtained for synthetic images. Attention is focused on the concavity of real image spectra and on its interpretation in terms of the analyzed images. This led us to the proposition of a segmentation method for water bodies. The method is tested and the results are compared with water masks of the regions under study. Comments are made about the limitations of the proposed method.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/75219
San Martin, Victor Manuel; Figliola, Maria Alejandra; Application of multifractal analysis to segmentation of water bodies in optical satellite images; Paper in Physics; Papers in Physics; 9; 9-2017; 1-14
1852-4249
CONICET Digital
CONICET
url http://hdl.handle.net/11336/75219
identifier_str_mv San Martin, Victor Manuel; Figliola, Maria Alejandra; Application of multifractal analysis to segmentation of water bodies in optical satellite images; Paper in Physics; Papers in Physics; 9; 9-2017; 1-14
1852-4249
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.4279/PIP.090007
info:eu-repo/semantics/altIdentifier/url/https://www.papersinphysics.org/papersinphysics/article/view/395
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Paper in Physics
publisher.none.fl_str_mv Paper in Physics
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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