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...
Published in: | Lecture Notes in Electrical Engineering |
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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 |
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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 |
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issn |
18761119 |
language |
English |
format |
Conference paper |
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scopus |
collection |
Scopus |
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1812871802194493440 |