Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom
Unmanned Aerial Vehicle (UAV) has succeeded in attaining a position in the aerial image survey as a cheaper and more effective for 3-dimension-modeling compared to traditional photogrammetry and Light Detection and Ranging (LIDAR). Besides that, the utilization of UAV photogrammetry software is impo...
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my-uitm-ir.336652020-08-25T06:39:56Z Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom 2020-08-18 Mohd Maasom, Mohammad Ashraf Aerial geography Geographic information systems Digital mapping 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-modeling compared to traditional photogrammetry and Light Detection and Ranging (LIDAR). Besides that, the utilization of UAV photogrammetry software is important in giving the highest accuracy for orthophoto production. This research will compare two different software packages used namely, Agisoft PhotoScan and Pix4d Mapper. The project aims to assess the accuracy of orthophoto generated using Agisoft PhotoScan and Pix4d Mapper. The study area is in University Technology Mara Campus Arau, Perlis. For data acquisition, the instrument that has been used is micro fix swing UAV for aerial photography. The ground control points (GCP) observed by using Rapid static technique, while checkpoint established using the Real-Time Kinematic (RTK) technique by using a set of equipment GPS Topcon GR-5 was carried out during the field survey observation. Arial photographs were processed by using digital photogrammetric software which is Agisoft PhotoScan and Pix4d Mapper for producing orthophoto. The processing phases involved were photo alignment, geo-referencing, dense points cloud and mesh, texture model, Digital Elevation Model (DEM), and orthophoto. The assessment of the accuracy of the software was based on both qualitative and quantitative analysis. The qualitative analysis includes points and distance measurements that used the root mean square error (RMSE) method for accuracy, while the quantitative analysis was used on the quality of the images. Finally, the expected outcome in the study is getting analysis the accuracy of the Orthophoto map in different software processing. The best software in accuracy specification used in the UAV processing method also will be determined at the last of the study. 2020-08 Thesis https://ir.uitm.edu.my/id/eprint/33665/ https://ir.uitm.edu.my/id/eprint/33665/1/33665.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surverying |
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Universiti Teknologi MARA |
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Aerial geography Geographic information systems Digital mapping Photogrammetry |
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Aerial geography Geographic information systems Digital mapping Photogrammetry Mohd Maasom, Mohammad Ashraf Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom |
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-modeling compared to traditional photogrammetry and Light Detection and Ranging (LIDAR). Besides that, the utilization of UAV photogrammetry software is important in giving the highest accuracy for orthophoto production. This research will compare two different software packages used namely, Agisoft PhotoScan and Pix4d Mapper. The project aims to assess the accuracy of orthophoto generated using Agisoft PhotoScan and Pix4d Mapper. The study area is in University Technology Mara Campus Arau, Perlis. For data acquisition, the instrument that has been used is micro fix swing UAV for aerial photography. The ground control points (GCP) observed by using Rapid static technique, while checkpoint established using the Real-Time Kinematic (RTK) technique by using a set of equipment GPS Topcon GR-5 was carried out during the field survey observation. Arial photographs were processed by using digital photogrammetric software which is Agisoft PhotoScan and Pix4d Mapper for producing orthophoto. The processing phases involved were photo alignment, geo-referencing, dense points cloud and mesh, texture model, Digital Elevation Model (DEM), and orthophoto. The assessment of the accuracy of the software was based on both qualitative and quantitative analysis. The qualitative analysis includes points and distance measurements that used the root mean square error (RMSE) method for accuracy, while the quantitative analysis was used on the quality of the images. Finally, the expected outcome in the study is getting analysis the accuracy of the Orthophoto map in different software processing. The best software in accuracy specification used in the UAV processing method also will be determined at the last of the study. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Mohd Maasom, Mohammad Ashraf |
author_facet |
Mohd Maasom, Mohammad Ashraf |
author_sort |
Mohd Maasom, Mohammad Ashraf |
title |
Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom |
title_short |
Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom |
title_full |
Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom |
title_fullStr |
Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom |
title_full_unstemmed |
Accuracy assesssment of agisoft photoscan and PIX4D mapper in orthophoto and dem production / Mohammad Ashraf Mohd Maasom |
title_sort |
accuracy assesssment of agisoft photoscan and pix4d mapper in orthophoto and dem production / mohammad ashraf mohd maasom |
granting_institution |
Universiti Teknologi Mara Perlis |
granting_department |
Faculty of Architecture, Planning and Surverying |
publishDate |
2020 |
url |
https://ir.uitm.edu.my/id/eprint/33665/1/33665.pdf |
_version_ |
1783734248680718336 |