Feature-based real-time aerial image stitching and quality assessment for post-disaster application

In the past, digital maps were created using a photogrammetry framework where the Unmanned Aerial Vehicle (UAV) would collect the aerial images; then, images would be post-processed through commercial software using the Structure From Motion (SFM) method. Creating digital maps has been helpful for r...

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Main Author:	Kumareswaran, Dhanesh
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/101451/1/DhaneshKumareswaranMSKM2022.pdf
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id	my-utm-ep.101451
record_format	uketd_dc
spelling	my-utm-ep.1014512023-06-21T09:36:42Z Feature-based real-time aerial image stitching and quality assessment for post-disaster application 2022 Kumareswaran, Dhanesh TJ Mechanical engineering and machinery In the past, digital maps were created using a photogrammetry framework where the Unmanned Aerial Vehicle (UAV) would collect the aerial images; then, images would be post-processed through commercial software using the Structure From Motion (SFM) method. Creating digital maps has been helpful for remote sensing, especially for studying and observing the terrain. However, one disadvantage of this method of creating digital maps is that it consumes more computational time. Although commercial solutions are widely used, they are not suitable in disaster-affected areas because of the long computational time. Disasters such as earthquakes, floods, and landslides would happen without prior notice, and areas affected by such a disaster would suffer heavy damage. In such a situation, the authorities need an instant digital map to observe the affected areas and decide. Hence, this study focuses on accelerating the creation of a digital map using the real-time image stitching method. Image stitching itself can be divided into feature-based and region-based methods. This study uses a feature-based image stitching method to accelerate the map creation process. This research formulated an image stitching algorithm to stitch aerial images in real-time. A processing speed of 37 frames per second was achieved. The image stitching algorithm was optimized to stitch large areas captured using the multi-grid flight path; a processing speed of 2 frames per second was achieved. Finally, an image selection algorithm was introduced to improve the stitch image quality by 14% and the computational time by 2-fold for a multi-grid flight path. In conclusion, the developed image stitching algorithm can reduce the computational time needed to produce a digital map at the disaster site. Although the developed image stitching algorithm can stitch faster with improved quality, more testing needs to be conducted using aerial images from disaster sites. 2022 Thesis http://eprints.utm.my/id/eprint/101451/ http://eprints.utm.my/id/eprint/101451/1/DhaneshKumareswaranMSKM2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:151648 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Mechanical Engineering Faculty of Engineering - School of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Kumareswaran, Dhanesh Feature-based real-time aerial image stitching and quality assessment for post-disaster application
description	In the past, digital maps were created using a photogrammetry framework where the Unmanned Aerial Vehicle (UAV) would collect the aerial images; then, images would be post-processed through commercial software using the Structure From Motion (SFM) method. Creating digital maps has been helpful for remote sensing, especially for studying and observing the terrain. However, one disadvantage of this method of creating digital maps is that it consumes more computational time. Although commercial solutions are widely used, they are not suitable in disaster-affected areas because of the long computational time. Disasters such as earthquakes, floods, and landslides would happen without prior notice, and areas affected by such a disaster would suffer heavy damage. In such a situation, the authorities need an instant digital map to observe the affected areas and decide. Hence, this study focuses on accelerating the creation of a digital map using the real-time image stitching method. Image stitching itself can be divided into feature-based and region-based methods. This study uses a feature-based image stitching method to accelerate the map creation process. This research formulated an image stitching algorithm to stitch aerial images in real-time. A processing speed of 37 frames per second was achieved. The image stitching algorithm was optimized to stitch large areas captured using the multi-grid flight path; a processing speed of 2 frames per second was achieved. Finally, an image selection algorithm was introduced to improve the stitch image quality by 14% and the computational time by 2-fold for a multi-grid flight path. In conclusion, the developed image stitching algorithm can reduce the computational time needed to produce a digital map at the disaster site. Although the developed image stitching algorithm can stitch faster with improved quality, more testing needs to be conducted using aerial images from disaster sites.
format	Thesis
qualification_level	Master's degree
author	Kumareswaran, Dhanesh
author_facet	Kumareswaran, Dhanesh
author_sort	Kumareswaran, Dhanesh
title	Feature-based real-time aerial image stitching and quality assessment for post-disaster application
title_short	Feature-based real-time aerial image stitching and quality assessment for post-disaster application
title_full	Feature-based real-time aerial image stitching and quality assessment for post-disaster application
title_fullStr	Feature-based real-time aerial image stitching and quality assessment for post-disaster application
title_full_unstemmed	Feature-based real-time aerial image stitching and quality assessment for post-disaster application
title_sort	feature-based real-time aerial image stitching and quality assessment for post-disaster application
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Mechanical Engineering
granting_department	Faculty of Engineering - School of Mechanical Engineering
publishDate	2022
url	http://eprints.utm.my/id/eprint/101451/1/DhaneshKumareswaranMSKM2022.pdf
_version_	1776100701226663936

Feature-based real-time aerial image stitching and quality assessment for post-disaster application

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