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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorShorter, Nicholas-
dc.contributor.authorKasparis, Takis-
dc.date.accessioned2019-05-31T09:50:18Z-
dc.date.available2019-05-31T09:50:18Z-
dc.date.issued2009-10-16-
dc.identifier.citationRemote Sens. 2009, vol. 1, no.4, pp.731-757en_US
dc.identifier.issn20724292-
dc.description.abstractA novel, automatic tertiary classifier is proposed for identifying vegetation, building and non-building objects from a single nadir aerial image. The method is unsupervised, that is, no parameter adjustment is done during the algorithm's execution. The only assumption the algorithm makes about the building structures is that they have convex rooftop sections. Results are provided for two different actual data sets. © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofRemote Sensingen_US
dc.rights© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open–access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).en_US
dc.subjectBuilding detectionen_US
dc.subjectColor invariantsen_US
dc.subjectNadir aerial imageen_US
dc.subjectVegetation identificationen_US
dc.titleAutomatic vegetation identification and building detection from a single nadir aerial imageen_US
dc.typeArticleen_US
dc.collaborationUniversity of Central Floridaen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/rs1040731en_US
dc.identifier.scopus2-s2.0-79957647115-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/79957647115-
dc.relation.issue4en_US
dc.relation.volume1en_US
cut.common.academicyear2009-2010en_US
dc.identifier.spage731en_US
dc.identifier.epage757en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-3486-538x-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn2072-4292-
crisitem.journal.publisherMDPI-
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