Proposição de rotina morfológica para detecção de malha viária em imagens orbitais
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Publication Date: | 2010 |
Other Authors: | , |
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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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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1799965758405476352 |