Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1334
Title: Performance Analysis of Image Mosaicing Methods for Unmanned Aerial Vehicles
Authors: Tahtırvancı, Aykut
Durdu, Akif
Keywords: Unmanned Aerial Vehicle
Image Mosaicing
Image Processing
SIFT
SURF
FAST
Harris Corner Detector
Issue Date: 2018
Publisher: IEEE
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.
Description: 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- JUN 28-30, 2018 -- Iasi, ROMANIA
URI: https://hdl.handle.net/20.500.13091/1334
ISBN: 978-1-5386-4901-5
ISSN: 2378-7147
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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