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Panoramic image matching method for UAV remote sensing based of sift algorithm

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dc.contributor.authorEmran Izzuddin Mohd Suib
dc.date.accessioned2024-07-31T08:02:55Z
dc.date.available2024-07-31T08:02:55Z
dc.date.issued2014
dc.descriptionTA1637.E47 2014
dc.description.abstractUnmanned Aerial Vehicles (UAVs) are usually equipped with payloads that include multispectral digital cameras. These cameras provide operators the opportunity to monitor terrain, carry out reconnaissance mission from a distant ground station without endangering UAV operators or commonly known as remote sensing. Remote sensing technology on UAVS is widely used in today's surveillance system, however there are technical challenges that exist. The problem often arises where large sequences or sets images taken from the UAV cameras that being send and received by the operators on the ground station are too many, field-of-view (FOV) of a single image is very limited and can cause the operators to become overwhelmed to identify the images. This problem can be rendered down by implementing Scale Invariant Feature Transform (SIFT) algorithm on the images so that operators can analyze the images more efficiently. In this paper, SIFT algorithm will be simulated in MATLAB to show its capability in solving the FOV issues by stitching and matching the images because of its robustness and accuracy in extracting keypoints. Finally, satisfactory results are obtained.
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33127
dc.language.isoen_US
dc.subjectVehicles
dc.subjectImage processing
dc.titlePanoramic image matching method for UAV remote sensing based of sift algorithm
dc.typeResource Types::text::Final Year Project
dspace.entity.typePublication
oaire.citation.endPage56
oaire.citation.startPage1
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