Proposição de rotina morfológica para detecção de malha viária em imagens orbitais

Bibliographic Details
Main Author: Santos, Fernanda Puga [UNESP]
Publication Date: 2010
Other Authors: Silva, Erivaldo Antonio da [UNESP], De Albuquerque Nóbrega, Rodrigo Affonso
Format: Article
Language: por
Source: Repositório Institucional da UNESP
Download full: http://www.seer.ufu.br/index.php/cieng/article/view/7500
http://hdl.handle.net/11449/71557
Summary: The outdating of cartographic products affects planning. It is important to propose methods to help detect changes in surface. Thus, the combined use of remote sensing image and techniques of digital image processing has contributed significantly to minimize such outdating. Mathematical morphology is an image processing technique which describes quantitatively geometric structures presented in the image and provides tools such as edge detectors and morphological filters. Previous studies have shown that the technique has potential on the detection of significant features. Thus, this paper proposes a routine of morphological operators to detect a road network. The test area corresponds to an excerpt Quickbird image and has as a feature of interest an avenue of the city of Presidente Prudente, SP. In the processing, the main morphological operators used were threshad, areaopen, binary and erosion. To estimate the accuracy with which the linear features were detected, it was done the analysis of linear correlation between vectors of the features detected and the corresponding topographical map of the region. The results showed that the mathematical morphology can be used in cartography, aiming to use them in conventional cartographic updating processes.
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spelling Proposição de rotina morfológica para detecção de malha viária em imagens orbitaisMorphological routine for the detection of road network in orbital imagesCartographic updatingCartographyFeatures detectionMathematical morphologyEdge detectorsGeometric structureImage processing techniqueLinear correlationLinear featureMorphological filtersMorphological operatorQuickBird imagesRemote sensing imagesRoad networkDetectorsImage reconstructionImaging systemsMappingMapsMathematical operatorsMorphologyMotor transportationRemote sensingRoads and streetsThe outdating of cartographic products affects planning. It is important to propose methods to help detect changes in surface. Thus, the combined use of remote sensing image and techniques of digital image processing has contributed significantly to minimize such outdating. Mathematical morphology is an image processing technique which describes quantitatively geometric structures presented in the image and provides tools such as edge detectors and morphological filters. Previous studies have shown that the technique has potential on the detection of significant features. Thus, this paper proposes a routine of morphological operators to detect a road network. The test area corresponds to an excerpt Quickbird image and has as a feature of interest an avenue of the city of Presidente Prudente, SP. In the processing, the main morphological operators used were threshad, areaopen, binary and erosion. To estimate the accuracy with which the linear features were detected, it was done the analysis of linear correlation between vectors of the features detected and the corresponding topographical map of the region. The results showed that the mathematical morphology can be used in cartography, aiming to use them in conventional cartographic updating processes.Universidade Estadual Paulista - Unesp Faculdade de Ciências e Tecnologia - FCT Departamento de Cartografia, Presidente Prudente, SPMississipi State University Geosystems Research Institute, 2 Reasearch Boulevard, Starkville, MS 39759Universidade Estadual Paulista - Unesp Faculdade de Ciências e Tecnologia - FCT Departamento de Cartografia, Presidente Prudente, SPUniversidade Estadual Paulista (Unesp)Geosystems Research InstituteSantos, Fernanda Puga [UNESP]Silva, Erivaldo Antonio da [UNESP]De Albuquerque Nóbrega, Rodrigo Affonso2014-05-27T11:24:37Z2014-05-27T11:24:37Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-6application/pdfhttp://www.seer.ufu.br/index.php/cieng/article/view/7500Ciencia y Engenharia/ Science and Engineering Journal, v. 19, n. 1, p. 1-6, 2010.0103-944Xhttp://hdl.handle.net/11449/715572-s2.0-800520983972-s2.0-80052098397.pdf91035450045071350000-0002-7069-0479Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporCiencia y Engenharia/ Science and Engineering Journalinfo:eu-repo/semantics/openAccess2024-01-29T06:28:32Zoai:repositorio.unesp.br:11449/71557Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-29T06:28:32Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
Morphological routine for the detection of road network in orbital images
title Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
spellingShingle Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
Santos, Fernanda Puga [UNESP]
Cartographic updating
Cartography
Features detection
Mathematical morphology
Edge detectors
Geometric structure
Image processing technique
Linear correlation
Linear feature
Morphological filters
Morphological operator
QuickBird images
Remote sensing images
Road network
Detectors
Image reconstruction
Imaging systems
Mapping
Maps
Mathematical operators
Morphology
Motor transportation
Remote sensing
Roads and streets
title_short Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
title_full Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
title_fullStr Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
title_full_unstemmed Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
title_sort Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
author Santos, Fernanda Puga [UNESP]
author_facet Santos, Fernanda Puga [UNESP]
Silva, Erivaldo Antonio da [UNESP]
De Albuquerque Nóbrega, Rodrigo Affonso
author_role author
author2 Silva, Erivaldo Antonio da [UNESP]
De Albuquerque Nóbrega, Rodrigo Affonso
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Geosystems Research Institute
dc.contributor.author.fl_str_mv Santos, Fernanda Puga [UNESP]
Silva, Erivaldo Antonio da [UNESP]
De Albuquerque Nóbrega, Rodrigo Affonso
dc.subject.por.fl_str_mv Cartographic updating
Cartography
Features detection
Mathematical morphology
Edge detectors
Geometric structure
Image processing technique
Linear correlation
Linear feature
Morphological filters
Morphological operator
QuickBird images
Remote sensing images
Road network
Detectors
Image reconstruction
Imaging systems
Mapping
Maps
Mathematical operators
Morphology
Motor transportation
Remote sensing
Roads and streets
topic Cartographic updating
Cartography
Features detection
Mathematical morphology
Edge detectors
Geometric structure
Image processing technique
Linear correlation
Linear feature
Morphological filters
Morphological operator
QuickBird images
Remote sensing images
Road network
Detectors
Image reconstruction
Imaging systems
Mapping
Maps
Mathematical operators
Morphology
Motor transportation
Remote sensing
Roads and streets
description The outdating of cartographic products affects planning. It is important to propose methods to help detect changes in surface. Thus, the combined use of remote sensing image and techniques of digital image processing has contributed significantly to minimize such outdating. Mathematical morphology is an image processing technique which describes quantitatively geometric structures presented in the image and provides tools such as edge detectors and morphological filters. Previous studies have shown that the technique has potential on the detection of significant features. Thus, this paper proposes a routine of morphological operators to detect a road network. The test area corresponds to an excerpt Quickbird image and has as a feature of interest an avenue of the city of Presidente Prudente, SP. In the processing, the main morphological operators used were threshad, areaopen, binary and erosion. To estimate the accuracy with which the linear features were detected, it was done the analysis of linear correlation between vectors of the features detected and the corresponding topographical map of the region. The results showed that the mathematical morphology can be used in cartography, aiming to use them in conventional cartographic updating processes.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2014-05-27T11:24:37Z
2014-05-27T11:24:37Z
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://www.seer.ufu.br/index.php/cieng/article/view/7500
Ciencia y Engenharia/ Science and Engineering Journal, v. 19, n. 1, p. 1-6, 2010.
0103-944X
http://hdl.handle.net/11449/71557
2-s2.0-80052098397
2-s2.0-80052098397.pdf
9103545004507135
0000-0002-7069-0479
url http://www.seer.ufu.br/index.php/cieng/article/view/7500
http://hdl.handle.net/11449/71557
identifier_str_mv Ciencia y Engenharia/ Science and Engineering Journal, v. 19, n. 1, p. 1-6, 2010.
0103-944X
2-s2.0-80052098397
2-s2.0-80052098397.pdf
9103545004507135
0000-0002-7069-0479
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Ciencia y Engenharia/ Science and Engineering Journal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-6
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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