Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1334
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTahtırvancı, Aykut-
dc.contributor.authorDurdu, Akif-
dc.date.accessioned2021-12-13T10:38:45Z-
dc.date.available2021-12-13T10:38:45Z-
dc.date.issued2018-
dc.identifier.isbn978-1-5386-4901-5-
dc.identifier.issn2378-7147-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1334-
dc.description10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- JUN 28-30, 2018 -- Iasi, ROMANIAen_US
dc.description.abstractToday, Unmanned Aerial Vehicles (UAVs) have gained considerable importance, especially in the defense industry. Thanks to the cameras placed on these vehicles, a certain area can be explored for safety reasons. Various image processing techniques are used for this. Image mosaicing is one of these techniques. In this study, the effects of SIFT(Scale-Invariant Feature Transform), SURF(Speeded Up Robust Features), FAST(Features from Accelerated Segment Test) and Harris corner detector methods used for image mosaicing on images taken from unmanned aerial vehicles are tested and compared.en_US
dc.description.sponsorshipIEEE Romania Sect, IEEE Ind Applicat Soc, Univ Pitesti, Guvernul Romaniei, Univ Pitesti, Fac Electronica Comunicatii Calculatoareen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofPROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectUnmanned Aerial Vehicleen_US
dc.subjectImage Mosaicingen_US
dc.subjectImage Processingen_US
dc.subjectSIFTen_US
dc.subjectSURFen_US
dc.subjectFASTen_US
dc.subjectHarris Corner Detectoren_US
dc.titlePerformance Analysis of Image Mosaicing Methods for Unmanned Aerial Vehiclesen_US
dc.typeConference Objecten_US
dc.identifier.scopus2-s2.0-85064605955en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.authoridDurdu, Akif/0000-0002-5611-2322-
dc.authorwosidDurdu, Akif/AAQ-4344-2020-
dc.identifier.wosWOS:000467734100077en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextembargo_20300101-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.04. Department of Electrical and Electronics Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
Files in This Item:
File SizeFormat 
Performance_Analysis_of_Image_Mosaicing_Methods_for_Unmanned_Aerial_Vehicles.pdf
  Until 2030-01-01		990.55 kBAdobe PDFView/Open    Request a copy
Show simple item record



CORE Recommender

Page view(s)

100
checked on Apr 22, 2024

Download(s)

6
checked on Apr 22, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.