Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management

An orthophoto is a geometrically corrected aerial image that can be used in the same approach as map. It provides various geospatial information and therefore plays an important role in infrastructure management. This paper describes the methodology of an aerial survey using a multirotor drone and t...

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Main Authors: Noor Asiah, Mohamad, Nurhidayah, Azmy, Mohamed Yusof, L., Wahap, M. S.
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing Ltd. 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31757/1/Derivation%20of%20high-resolution%20orthophoto%20map%20from%20multirotor%20drone.pdf
http://umpir.ump.edu.my/id/eprint/31757/
https://doi.org/10.1088/1755-1315/682/1/012048
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spelling my.ump.umpir.317572022-01-10T01:17:43Z http://umpir.ump.edu.my/id/eprint/31757/ Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management Noor Asiah, Mohamad Nurhidayah, Azmy Mohamed Yusof, L. Wahap, M. S. G Geography (General) GE Environmental Sciences TA Engineering (General). Civil engineering (General) An orthophoto is a geometrically corrected aerial image that can be used in the same approach as map. It provides various geospatial information and therefore plays an important role in infrastructure management. This paper describes the methodology of an aerial survey using a multirotor drone and the processing of aerial images acquired from the survey to produce an orthophoto map. The survey work was carried out using Zenmuse X4S photogrammetric camera controlled by an autopilot multirotor drone at 200m above the ground. Optimal flight path for the autonomous mission was created and organized using the Map Pilot software. Five ground control points were laid within the survey area and their locations were determined using a real-time kinematic global navigation satellite system. Aerial images acquired from the survey were processed with the Pix4Dmapper photogrammetry software. The photogrammetric processing generated a 6 cm-resolution orthophoto map. The presented work demonstrates the practicality of multirotor drone survey and intelligent image processing for non-professionals in deriving high-resolution orthophoto map for application in infrastructure management. IOP Publishing Ltd. 2021-02-27 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/31757/1/Derivation%20of%20high-resolution%20orthophoto%20map%20from%20multirotor%20drone.pdf Noor Asiah, Mohamad and Nurhidayah, Azmy and Mohamed Yusof, L. and Wahap, M. S. (2021) Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management. In: IOP Conference Series: Earth and Environmental Science; 4th National Conference on Wind and Earthquake Engineering, NCWE 2020, 16 - 17 October 2020 , Putrajaya, Malaysia. pp. 1-8., 682 (1). ISSN 1755-1307 https://doi.org/10.1088/1755-1315/682/1/012048
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic G Geography (General)
GE Environmental Sciences
TA Engineering (General). Civil engineering (General)
spellingShingle G Geography (General)
GE Environmental Sciences
TA Engineering (General). Civil engineering (General)
Noor Asiah, Mohamad
Nurhidayah, Azmy
Mohamed Yusof, L.
Wahap, M. S.
Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
description An orthophoto is a geometrically corrected aerial image that can be used in the same approach as map. It provides various geospatial information and therefore plays an important role in infrastructure management. This paper describes the methodology of an aerial survey using a multirotor drone and the processing of aerial images acquired from the survey to produce an orthophoto map. The survey work was carried out using Zenmuse X4S photogrammetric camera controlled by an autopilot multirotor drone at 200m above the ground. Optimal flight path for the autonomous mission was created and organized using the Map Pilot software. Five ground control points were laid within the survey area and their locations were determined using a real-time kinematic global navigation satellite system. Aerial images acquired from the survey were processed with the Pix4Dmapper photogrammetry software. The photogrammetric processing generated a 6 cm-resolution orthophoto map. The presented work demonstrates the practicality of multirotor drone survey and intelligent image processing for non-professionals in deriving high-resolution orthophoto map for application in infrastructure management.
format Conference or Workshop Item
author Noor Asiah, Mohamad
Nurhidayah, Azmy
Mohamed Yusof, L.
Wahap, M. S.
author_facet Noor Asiah, Mohamad
Nurhidayah, Azmy
Mohamed Yusof, L.
Wahap, M. S.
author_sort Noor Asiah, Mohamad
title Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
title_short Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
title_full Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
title_fullStr Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
title_full_unstemmed Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
title_sort derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
publisher IOP Publishing Ltd.
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/31757/1/Derivation%20of%20high-resolution%20orthophoto%20map%20from%20multirotor%20drone.pdf
http://umpir.ump.edu.my/id/eprint/31757/
https://doi.org/10.1088/1755-1315/682/1/012048
_version_ 1724073482125312000
score 13.160551