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

TA1637.E47 2014

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Main Author: Emran Izzuddin Mohd Suib
Format: text::Final Year Project
Language:English US
Published: 2024
Subjects:
Vehicles
Image processing
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spelling my.uniten.dspace-331272024-08-04T02:06:05Z Panoramic image matching method for UAV remote sensing based of sift algorithm Emran Izzuddin Mohd Suib Vehicles Image processing TA1637.E47 2014 Unmanned 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. 2024-07-31T08:02:55Z 2024-07-31T08:02:55Z 2014 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/33127 en_US application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English US
topic Vehicles
Image processing
spellingShingle Vehicles
Image processing
Emran Izzuddin Mohd Suib
Panoramic image matching method for UAV remote sensing based of sift algorithm
description TA1637.E47 2014
format Resource Types::text::Final Year Project
author Emran Izzuddin Mohd Suib
author_facet Emran Izzuddin Mohd Suib
author_sort Emran Izzuddin Mohd Suib
title Panoramic image matching method for UAV remote sensing based of sift algorithm
title_short Panoramic image matching method for UAV remote sensing based of sift algorithm
title_full Panoramic image matching method for UAV remote sensing based of sift algorithm
title_fullStr Panoramic image matching method for UAV remote sensing based of sift algorithm
title_full_unstemmed Panoramic image matching method for UAV remote sensing based of sift algorithm
title_sort panoramic image matching method for uav remote sensing based of sift algorithm
publishDate 2024
_version_ 1806517999954296832
score 13.214268

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