Automatic slope streak detection on Mars

Detalhes bibliográficos
Autor(a) principal: Puga, Fernanda [UNESP]
Data de Publicação: 2015
Outros Autores: Silva, Erivaldo A. [UNESP], Pina, Pedro, Loncaric, S., Lerski, D., Eskola, H., Bregovic, R.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/158928
Resumo: An algorithm to detect slope streaks on Mars is presented in this paper. It is mainly based on morphological operators and consists of three steps: 'pre-processing' with connected operators to filter small structures and shadows, 'detection' with top-hat, Otsu binarisation and thinning/pruningre-construction operations and by a 'post-processing' to remove non-elongated objects. The algorithm is successfully tested on very high resolution images (0.25-6.5 m/pixel) of HiRISE and MOC cameras on different locations of Mars.
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spelling Automatic slope streak detection on MarsSlope streaksfeature detectionMathematical MorphologyMarsAn algorithm to detect slope streaks on Mars is presented in this paper. It is mainly based on morphological operators and consists of three steps: 'pre-processing' with connected operators to filter small structures and shadows, 'detection' with top-hat, Otsu binarisation and thinning/pruningre-construction operations and by a 'post-processing' to remove non-elongated objects. The algorithm is successfully tested on very high resolution images (0.25-6.5 m/pixel) of HiRISE and MOC cameras on different locations of Mars.Univ Estadual Paulista UNESP, Fac Ciencias & Tecnol FCT, Presidente Prudente, BrazilUniv Lisbon, CERENA, Inst Super Tecn, P-1699 Lisbon, PortugalUniv Estadual Paulista UNESP, Fac Ciencias & Tecnol FCT, Presidente Prudente, BrazilIeeeUniversidade Estadual Paulista (Unesp)Univ LisbonPuga, Fernanda [UNESP]Silva, Erivaldo A. [UNESP]Pina, PedroLoncaric, S.Lerski, D.Eskola, H.Bregovic, R.2018-11-26T15:30:01Z2018-11-26T15:30:01Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject98-101Ispa 2015 9th International Symposium On Image And Signal Processing And Analysis. New York: Ieee, p. 98-101, 2015.1845-5921http://hdl.handle.net/11449/158928WOS:000378419400018Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIspa 2015 9th International Symposium On Image And Signal Processing And Analysisinfo:eu-repo/semantics/openAccess2021-10-23T21:44:30Zoai:repositorio.unesp.br:11449/158928Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:10:13.313763Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Automatic slope streak detection on Mars
title Automatic slope streak detection on Mars
spellingShingle Automatic slope streak detection on Mars
Puga, Fernanda [UNESP]
Slope streaks
feature detection
Mathematical Morphology
Mars
title_short Automatic slope streak detection on Mars
title_full Automatic slope streak detection on Mars
title_fullStr Automatic slope streak detection on Mars
title_full_unstemmed Automatic slope streak detection on Mars
title_sort Automatic slope streak detection on Mars
author Puga, Fernanda [UNESP]
author_facet Puga, Fernanda [UNESP]
Silva, Erivaldo A. [UNESP]
Pina, Pedro
Loncaric, S.
Lerski, D.
Eskola, H.
Bregovic, R.
author_role author
author2 Silva, Erivaldo A. [UNESP]
Pina, Pedro
Loncaric, S.
Lerski, D.
Eskola, H.
Bregovic, R.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Lisbon
dc.contributor.author.fl_str_mv Puga, Fernanda [UNESP]
Silva, Erivaldo A. [UNESP]
Pina, Pedro
Loncaric, S.
Lerski, D.
Eskola, H.
Bregovic, R.
dc.subject.por.fl_str_mv Slope streaks
feature detection
Mathematical Morphology
Mars
topic Slope streaks
feature detection
Mathematical Morphology
Mars
description An algorithm to detect slope streaks on Mars is presented in this paper. It is mainly based on morphological operators and consists of three steps: 'pre-processing' with connected operators to filter small structures and shadows, 'detection' with top-hat, Otsu binarisation and thinning/pruningre-construction operations and by a 'post-processing' to remove non-elongated objects. The algorithm is successfully tested on very high resolution images (0.25-6.5 m/pixel) of HiRISE and MOC cameras on different locations of Mars.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2018-11-26T15:30:01Z
2018-11-26T15:30:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Ispa 2015 9th International Symposium On Image And Signal Processing And Analysis. New York: Ieee, p. 98-101, 2015.
1845-5921
http://hdl.handle.net/11449/158928
WOS:000378419400018
identifier_str_mv Ispa 2015 9th International Symposium On Image And Signal Processing And Analysis. New York: Ieee, p. 98-101, 2015.
1845-5921
WOS:000378419400018
url http://hdl.handle.net/11449/158928
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ispa 2015 9th International Symposium On Image And Signal Processing And Analysis
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 98-101
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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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