Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1334
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tahtırvancı, Aykut | - |
dc.contributor.author | Durdu, Akif | - |
dc.date.accessioned | 2021-12-13T10:38:45Z | - |
dc.date.available | 2021-12-13T10:38:45Z | - |
dc.date.issued | 2018 | - |
dc.identifier.isbn | 978-1-5386-4901-5 | - |
dc.identifier.issn | 2378-7147 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/1334 | - |
dc.description | 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- JUN 28-30, 2018 -- Iasi, ROMANIA | en_US |
dc.description.abstract | Today, 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.sponsorship | IEEE Romania Sect, IEEE Ind Applicat Soc, Univ Pitesti, Guvernul Romaniei, Univ Pitesti, Fac Electronica Comunicatii Calculatoare | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Unmanned Aerial Vehicle | en_US |
dc.subject | Image Mosaicing | en_US |
dc.subject | Image Processing | en_US |
dc.subject | SIFT | en_US |
dc.subject | SURF | en_US |
dc.subject | FAST | en_US |
dc.subject | Harris Corner Detector | en_US |
dc.title | Performance Analysis of Image Mosaicing Methods for Unmanned Aerial Vehicles | en_US |
dc.type | Conference Object | en_US |
dc.identifier.scopus | 2-s2.0-85064605955 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.authorid | Durdu, Akif/0000-0002-5611-2322 | - |
dc.authorwosid | Durdu, Akif/AAQ-4344-2020 | - |
dc.identifier.wos | WOS:000467734100077 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Conference Object | - |
item.grantfulltext | embargo_20300101 | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | 02.04. 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 |
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File | Size | Format | |
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Performance_Analysis_of_Image_Mosaicing_Methods_for_Unmanned_Aerial_Vehicles.pdf Until 2030-01-01 | 990.55 kB | Adobe PDF | View/Open Request a copy |
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