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https://hdl.handle.net/20.500.14279/13967
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Shorter, Nicholas | - |
dc.contributor.author | Kasparis, Takis | - |
dc.date.accessioned | 2019-05-31T09:50:18Z | - |
dc.date.available | 2019-05-31T09:50:18Z | - |
dc.date.issued | 2009-10-16 | - |
dc.identifier.citation | Remote Sens. 2009, vol. 1, no.4, pp.731-757 | en_US |
dc.identifier.issn | 20724292 | - |
dc.description.abstract | A 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.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Remote Sensing | en_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.subject | Building detection | en_US |
dc.subject | Color invariants | en_US |
dc.subject | Nadir aerial image | en_US |
dc.subject | Vegetation identification | en_US |
dc.title | Automatic vegetation identification and building detection from a single nadir aerial image | en_US |
dc.type | Article | en_US |
dc.collaboration | University of Central Florida | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | United States | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.3390/rs1040731 | en_US |
dc.identifier.scopus | 2-s2.0-79957647115 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/79957647115 | - |
dc.relation.issue | 4 | en_US |
dc.relation.volume | 1 | en_US |
cut.common.academicyear | 2009-2010 | en_US |
dc.identifier.spage | 731 | en_US |
dc.identifier.epage | 757 | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-3486-538x | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.journal.journalissn | 2072-4292 | - |
crisitem.journal.publisher | MDPI | - |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
---|---|---|---|---|
remotesensing-01-00731.pdf | Fulltext | 1.7 MB | Adobe PDF | Δείτε/ Ανοίξτε |
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