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Is it possible to make pixel-based radar image classification user-friendly?

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dc.contributor.authorPisani, R. [UNESP]
dc.contributor.authorRiedel, P. [UNESP]
dc.contributor.authorGomes, A. [UNESP]
dc.contributor.authorMizobe, R. [UNESP]
dc.contributor.authorPapa, J. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:26:07Z
dc.date.available2014-05-27T11:26:07Z
dc.date.issued2011-11-16
dc.description.abstractIn this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, there is a need for faster and more precise pattern recognition algorithms in order to perform online and offline training and classification procedures. We deal here with the problem of moist area classification in radar image in a fast manner. Experimental results using Optimum-Path Forest and its training set pruning algorithm also provided and discussed. © 2011 IEEE.en
dc.description.affiliationUNESP - Univ. Estadual Paulista Geosciences and Exact Sciences Institute
dc.description.affiliationUNESP - Univ. Estadual Paulista Department of Computing
dc.description.affiliationUnespUNESP - Univ. Estadual Paulista Geosciences and Exact Sciences Institute
dc.description.affiliationUnespUNESP - Univ. Estadual Paulista Department of Computing
dc.format.extent4304-4307
dc.identifierhttp://dx.doi.org/10.1109/IGARSS.2011.6050183
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), p. 4304-4307.
dc.identifier.doi10.1109/IGARSS.2011.6050183
dc.identifier.scopus2-s2.0-80955168675
dc.identifier.urihttp://hdl.handle.net/11449/72803
dc.identifier.wosWOS:000297496304067
dc.language.isoeng
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectmoist area classification
dc.subjectoptimum-path forest
dc.subjectremote sensing
dc.subjectArea classification
dc.subjectClassification procedure
dc.subjectLarge datasets
dc.subjectOff-line training
dc.subjectPattern recognition algorithms
dc.subjectPruning algorithms
dc.subjectRadar image
dc.subjectTraining sets
dc.subjectAlgorithms
dc.subjectGeology
dc.subjectImage analysis
dc.subjectImage classification
dc.subjectPattern recognition
dc.subjectRadar
dc.subjectRemote sensing
dc.subjectClassification (of information)
dc.titleIs it possible to make pixel-based radar image classification user-friendly?en
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
unesp.author.orcid0000-0002-6494-7514[5]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentGeologia Aplicada - IGCEpt

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Rio Claro - IGCE - Instituto de Geociências e Ciências Exatas