Assessment of orthophoto generated from UAV images / Suaibah Ibrahim

Unmanned Aerial Vehicle (UAV) has succeeded in attaining a position in the aerial image survey as a cheaper and more effective for 3-dimension-modelling compared to traditional photogrammetry and Light Detection and Ranging (LIDAR). Besides that, the utilization of UAV photogrammetry software is imp...

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Bibliographic Details
Main Author:	Ibrahim, Suaibah
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Aerial geography Photogrammetry
Online Access:	https://ir.uitm.edu.my/id/eprint/30832/1/TD_SUAIBAH%20IBRAHIM%20AP%20R%2019_5.pdf
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id	my-uitm-ir.30832
record_format	uketd_dc
spelling	my-uitm-ir.308322020-06-01T02:39:27Z Assessment of orthophoto generated from UAV images / Suaibah Ibrahim 2020-05-28 Ibrahim, Suaibah Aerial geography Photogrammetry Unmanned Aerial Vehicle (UAV) has succeeded in attaining a position in the aerial image survey as a cheaper and more effective for 3-dimension-modelling compared to traditional photogrammetry and Light Detection and Ranging (LIDAR). Besides that, the utilization of UAV photogrammetry software is important in giving he highest accuracy for orthophoto production. This research will compare two different analysis on orthophoto. The project aims to assess the accuracy of plane coordinate on a orthophoto generated from aerial images. The ground control points (GCP) was carried out during the field survey observation and later the UAV images were processed by using the Agisoft PhotoScan software. The processing phases involved were photo alignment, geo-referencing, dense points cloud and mesh, texture model, Digital Elevation Model (DEM) and orthophoto with GCP distribution. The assessment on the accuracy of the software was based on both qualitative and quantitative analysis. The qualitative analysis includes points and distance measurement that used the RMSE method for accuracy, while the quantitative analysis was used on the quality of the images. Finally, the best analysis in accuracy specification used in UAV processing method will be determined. 2020-05 Thesis https://ir.uitm.edu.my/id/eprint/30832/ https://ir.uitm.edu.my/id/eprint/30832/1/TD_SUAIBAH%20IBRAHIM%20AP%20R%2019_5.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surverying (R)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Photogrammetry
spellingShingle	Aerial geography Photogrammetry Ibrahim, Suaibah Assessment of orthophoto generated from UAV images / Suaibah Ibrahim
description	Unmanned Aerial Vehicle (UAV) has succeeded in attaining a position in the aerial image survey as a cheaper and more effective for 3-dimension-modelling compared to traditional photogrammetry and Light Detection and Ranging (LIDAR). Besides that, the utilization of UAV photogrammetry software is important in giving he highest accuracy for orthophoto production. This research will compare two different analysis on orthophoto. The project aims to assess the accuracy of plane coordinate on a orthophoto generated from aerial images. The ground control points (GCP) was carried out during the field survey observation and later the UAV images were processed by using the Agisoft PhotoScan software. The processing phases involved were photo alignment, geo-referencing, dense points cloud and mesh, texture model, Digital Elevation Model (DEM) and orthophoto with GCP distribution. The assessment on the accuracy of the software was based on both qualitative and quantitative analysis. The qualitative analysis includes points and distance measurement that used the RMSE method for accuracy, while the quantitative analysis was used on the quality of the images. Finally, the best analysis in accuracy specification used in UAV processing method will be determined.
format	Thesis
qualification_level	Bachelor degree
author	Ibrahim, Suaibah
author_facet	Ibrahim, Suaibah
author_sort	Ibrahim, Suaibah
title	Assessment of orthophoto generated from UAV images / Suaibah Ibrahim
title_short	Assessment of orthophoto generated from UAV images / Suaibah Ibrahim
title_full	Assessment of orthophoto generated from UAV images / Suaibah Ibrahim
title_fullStr	Assessment of orthophoto generated from UAV images / Suaibah Ibrahim
title_full_unstemmed	Assessment of orthophoto generated from UAV images / Suaibah Ibrahim
title_sort	assessment of orthophoto generated from uav images / suaibah ibrahim
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surverying (R)
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/30832/1/TD_SUAIBAH%20IBRAHIM%20AP%20R%2019_5.pdf
_version_	1783734089729179648

Assessment of orthophoto generated from UAV images / Suaibah Ibrahim

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