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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主要作者: Ibrahim, Suaibah
格式: Thesis
语言:English
出版: 2020
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在线阅读:https://ir.uitm.edu.my/id/eprint/30832/1/TD_SUAIBAH%20IBRAHIM%20AP%20R%2019_5.pdf
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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
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