Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height

Most of the Unmanned Aerial Vehicle (UAV) images studies are focusing on the horizontal plane with minimal covered on its height values. This thesis will study about the accuracy assessment in height coordinates using UAV images processing based on orthometric height observation data. Apart from tha...

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Main Author:	Abu Kasim, Syamsul Anuar
Format:	Thesis
Language:	English
Published:	2015
Subjects:	HD1394-1394.5 Real estate management
Online Access:	http://eprints.utm.my/id/eprint/53668/1/SyamsulAnuarAbuKasimMFGHT2015.pdf
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spelling	my-utm-ep.536682020-09-01T01:52:37Z Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height 2015-06 Abu Kasim, Syamsul Anuar HD1394-1394.5 Real estate management Most of the Unmanned Aerial Vehicle (UAV) images studies are focusing on the horizontal plane with minimal covered on its height values. This thesis will study about the accuracy assessment in height coordinates using UAV images processing based on orthometric height observation data. Apart from that, the accuracy of height coordinates using UAV images processing based on different number of ground control point (GCP) are also assess. In this study, Agisoft PhotoScan v0.9.0 and Global Mapper v15.2.3 are the software used for the processing and analysis. Ground control points and check points were established using Real Time Kinematic Global Positioning System (RTK-GPS) and leveling method. There are two photogrammetric products produced in this study such as orthophoto and digital elevation model (DEM). The analyses of the photogrammetric products were performed based on different number of GCP and different orthometric height observation data. The results of this study showed that the height accuracy of photogrammetric products using UAV images processing based on 10 GCPs produced better accuracy than 5 GCPs. RMSE values of check point height coordinates based on data from leveling method are ± 0.161 meter for 5 GCPs and ± 0.116 meter for 10 GCPs while RMSE values of check point height coordinates based on data from RTK-GPS method are ± 0.167 meter for 5 GCPs and ± 0.124 meter for 10 GCPs. The results also showed that photogrammetric products using UAV images processing based on leveling method provide more accurate height results than RTK-GPS method. The RMSE value of check point height coordinates based on RTK-GPS method is ± 0.148 meter (10 GCPs) and RMSE value of check point height coordinates based on leveling method is ± 0.116 meter (10 GCPs). As conclusion, UAV images can be used to generate DEM that give height coordinate values with sub-meter accuracy. 2015-06 Thesis http://eprints.utm.my/id/eprint/53668/ http://eprints.utm.my/id/eprint/53668/1/SyamsulAnuarAbuKasimMFGHT2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85779 masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HD1394-1394.5 Real estate management
spellingShingle	HD1394-1394.5 Real estate management Abu Kasim, Syamsul Anuar Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height
description	Most of the Unmanned Aerial Vehicle (UAV) images studies are focusing on the horizontal plane with minimal covered on its height values. This thesis will study about the accuracy assessment in height coordinates using UAV images processing based on orthometric height observation data. Apart from that, the accuracy of height coordinates using UAV images processing based on different number of ground control point (GCP) are also assess. In this study, Agisoft PhotoScan v0.9.0 and Global Mapper v15.2.3 are the software used for the processing and analysis. Ground control points and check points were established using Real Time Kinematic Global Positioning System (RTK-GPS) and leveling method. There are two photogrammetric products produced in this study such as orthophoto and digital elevation model (DEM). The analyses of the photogrammetric products were performed based on different number of GCP and different orthometric height observation data. The results of this study showed that the height accuracy of photogrammetric products using UAV images processing based on 10 GCPs produced better accuracy than 5 GCPs. RMSE values of check point height coordinates based on data from leveling method are ± 0.161 meter for 5 GCPs and ± 0.116 meter for 10 GCPs while RMSE values of check point height coordinates based on data from RTK-GPS method are ± 0.167 meter for 5 GCPs and ± 0.124 meter for 10 GCPs. The results also showed that photogrammetric products using UAV images processing based on leveling method provide more accurate height results than RTK-GPS method. The RMSE value of check point height coordinates based on RTK-GPS method is ± 0.148 meter (10 GCPs) and RMSE value of check point height coordinates based on leveling method is ± 0.116 meter (10 GCPs). As conclusion, UAV images can be used to generate DEM that give height coordinate values with sub-meter accuracy.
format	Thesis
qualification_level	Master's degree
author	Abu Kasim, Syamsul Anuar
author_facet	Abu Kasim, Syamsul Anuar
author_sort	Abu Kasim, Syamsul Anuar
title	Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height
title_short	Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height
title_full	Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height
title_fullStr	Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height
title_full_unstemmed	Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height
title_sort	accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2015
url	http://eprints.utm.my/id/eprint/53668/1/SyamsulAnuarAbuKasimMFGHT2015.pdf
_version_	1747817608024948736

Accuracy assessment of height coordinate using unmanned aerial vehicle images based on orthometric height

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