Camera calibration for unmanned aerial vehicle mapping

Unmanned Aerial Vehicle (UAV) can be used to acquire highly accurate data in deformation survey and low-cost digital cameras are commonly used in UAV mapping. Thus, camera calibration is considered important in high-accuracy UAV mapping using low-cost digital camera. The main focus of this study is...

Full description

Saved in:
Bibliographic Details
Main Author: Yusoff, Ahmad Razali
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/53992/1/AhmadRazaliYusoffMFGHT2015.pdf
http://eprints.utm.my/id/eprint/53992/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85879
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.53992
record_format eprints
spelling my.utm.539922020-10-12T08:26:20Z http://eprints.utm.my/id/eprint/53992/ Camera calibration for unmanned aerial vehicle mapping Yusoff, Ahmad Razali HD1394-1394.5 Real estate management Unmanned Aerial Vehicle (UAV) can be used to acquire highly accurate data in deformation survey and low-cost digital cameras are commonly used in UAV mapping. Thus, camera calibration is considered important in high-accuracy UAV mapping using low-cost digital camera. The main focus of this study is to calibrate UAV camera at different camera distances and to assess the accuracy of the image mapping. The scope of this study includes camera calibration for short and long interval range and UAV image mapping accuracy assessment using calibration parameters of different camera distances. The camera distances for the image calibration acquisition and mapping accuracy assessment were 2, 3, 4, 5, and 6 metres for the short interval range using the Sony F828 camera, and 1.4, 15, 25, and 55 metres for the long interval range using Sony NEX6. The study was conducted on a flat football field of about 2,500 square metres and in the 3D Measurement Laboratory, both located in Universiti Teknologi Malaysia. The large calibration field and a portable calibration frame were used as the tools for the camera calibration and for checking the mapping accuracy at different camera distances. Australis software was used to perform the camera calibration and image mapping processes. The results show that camera distance changes the camera calibration parameters, i.e. principal point (xp, yp), lens distortion (k1, k2, k3, p1, p2), and affinity (b1). From different camera distances in calibration process, only specific camera distance resulting the best highly accurate UAV mapping, which can achieve millimetre and sub-millimetre levels. In conclusion, camera calibration using UAV can be done at several distance intervals to choose the best camera parameters for highly accurate UAV mapping. 2015-11 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53992/1/AhmadRazaliYusoffMFGHT2015.pdf Yusoff, Ahmad Razali (2015) Camera calibration for unmanned aerial vehicle mapping. Masters thesis, Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85879
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic HD1394-1394.5 Real estate management
spellingShingle HD1394-1394.5 Real estate management
Yusoff, Ahmad Razali
Camera calibration for unmanned aerial vehicle mapping
description Unmanned Aerial Vehicle (UAV) can be used to acquire highly accurate data in deformation survey and low-cost digital cameras are commonly used in UAV mapping. Thus, camera calibration is considered important in high-accuracy UAV mapping using low-cost digital camera. The main focus of this study is to calibrate UAV camera at different camera distances and to assess the accuracy of the image mapping. The scope of this study includes camera calibration for short and long interval range and UAV image mapping accuracy assessment using calibration parameters of different camera distances. The camera distances for the image calibration acquisition and mapping accuracy assessment were 2, 3, 4, 5, and 6 metres for the short interval range using the Sony F828 camera, and 1.4, 15, 25, and 55 metres for the long interval range using Sony NEX6. The study was conducted on a flat football field of about 2,500 square metres and in the 3D Measurement Laboratory, both located in Universiti Teknologi Malaysia. The large calibration field and a portable calibration frame were used as the tools for the camera calibration and for checking the mapping accuracy at different camera distances. Australis software was used to perform the camera calibration and image mapping processes. The results show that camera distance changes the camera calibration parameters, i.e. principal point (xp, yp), lens distortion (k1, k2, k3, p1, p2), and affinity (b1). From different camera distances in calibration process, only specific camera distance resulting the best highly accurate UAV mapping, which can achieve millimetre and sub-millimetre levels. In conclusion, camera calibration using UAV can be done at several distance intervals to choose the best camera parameters for highly accurate UAV mapping.
format Thesis
author Yusoff, Ahmad Razali
author_facet Yusoff, Ahmad Razali
author_sort Yusoff, Ahmad Razali
title Camera calibration for unmanned aerial vehicle mapping
title_short Camera calibration for unmanned aerial vehicle mapping
title_full Camera calibration for unmanned aerial vehicle mapping
title_fullStr Camera calibration for unmanned aerial vehicle mapping
title_full_unstemmed Camera calibration for unmanned aerial vehicle mapping
title_sort camera calibration for unmanned aerial vehicle mapping
publishDate 2015
url http://eprints.utm.my/id/eprint/53992/1/AhmadRazaliYusoffMFGHT2015.pdf
http://eprints.utm.my/id/eprint/53992/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85879
_version_ 1681489456105783296