Simulation study on distribution of control points for aerial images rectification

A raw uncalibrated aerial image acquired from a non-metric digital camera carried by an aircraft normally has lens and perspective distortions. However, geometric distortions are not occurred individually but accumulated irregularly in aerial images. Ground control points are important features used...

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Published in:Lecture Notes in Electrical Engineering
Main Author: Liew L.H.; Lee B.Y.; Wang Y.C.; Cheah W.S.
Format: Conference paper
Language:English
Published: 2012
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868588793&doi=10.1007%2f978-94-007-5699-1_18&partnerID=40&md5=2161a72949248e9b51744cefb86e705a
id 2-s2.0-84868588793
spelling 2-s2.0-84868588793
Liew L.H.; Lee B.Y.; Wang Y.C.; Cheah W.S.
Simulation study on distribution of control points for aerial images rectification
2012
Lecture Notes in Electrical Engineering
203 LNEE

10.1007/978-94-007-5699-1_18
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868588793&doi=10.1007%2f978-94-007-5699-1_18&partnerID=40&md5=2161a72949248e9b51744cefb86e705a
A raw uncalibrated aerial image acquired from a non-metric digital camera carried by an aircraft normally has lens and perspective distortions. However, geometric distortions are not occurred individually but accumulated irregularly in aerial images. Ground control points are important features used and geometric transformation is the essential process in non-parametric approach for aerial image rectification. The efficiency of the rectification would be affected if the control points are allocated in the image without considering the proper distribution. A simulation study is conducted using grid image and aerial images to examine the effect of different distribution patterns of control points. It demonstrates that lower order global transformation has limitation in rectifying images with complex distortions and images with different distribution patterns of control points have different deformation rates. © 2012 Springer Science+Business Media.

18761119
English
Conference paper

author Liew L.H.; Lee B.Y.; Wang Y.C.; Cheah W.S.
spellingShingle Liew L.H.; Lee B.Y.; Wang Y.C.; Cheah W.S.
Simulation study on distribution of control points for aerial images rectification
author_facet Liew L.H.; Lee B.Y.; Wang Y.C.; Cheah W.S.
author_sort Liew L.H.; Lee B.Y.; Wang Y.C.; Cheah W.S.
title Simulation study on distribution of control points for aerial images rectification
title_short Simulation study on distribution of control points for aerial images rectification
title_full Simulation study on distribution of control points for aerial images rectification
title_fullStr Simulation study on distribution of control points for aerial images rectification
title_full_unstemmed Simulation study on distribution of control points for aerial images rectification
title_sort Simulation study on distribution of control points for aerial images rectification
publishDate 2012
container_title Lecture Notes in Electrical Engineering
container_volume 203 LNEE
container_issue
doi_str_mv 10.1007/978-94-007-5699-1_18
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868588793&doi=10.1007%2f978-94-007-5699-1_18&partnerID=40&md5=2161a72949248e9b51744cefb86e705a
description A raw uncalibrated aerial image acquired from a non-metric digital camera carried by an aircraft normally has lens and perspective distortions. However, geometric distortions are not occurred individually but accumulated irregularly in aerial images. Ground control points are important features used and geometric transformation is the essential process in non-parametric approach for aerial image rectification. The efficiency of the rectification would be affected if the control points are allocated in the image without considering the proper distribution. A simulation study is conducted using grid image and aerial images to examine the effect of different distribution patterns of control points. It demonstrates that lower order global transformation has limitation in rectifying images with complex distortions and images with different distribution patterns of control points have different deformation rates. © 2012 Springer Science+Business Media.
publisher
issn 18761119
language English
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