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Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification

Geometric distortions are inevitable in aerial images. A raw uncalibrated aerial image acquired from a non-metric digital camera which carried by an aircraft normally has lens and perspective distortions and could not be used directly without undergoing image rectification. Ground control points (G...

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Main Authors: Lee, Hung Liew, Yin, Chai Wang, WaiShiang, Cheah
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/17588/1/Evaluation.pdf
http://ir.unimas.my/id/eprint/17588/
http://www.sciencedirect.com/science/article/pii/S1877705812026756
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spelling my.unimas.ir.175882022-09-29T08:07:02Z http://ir.unimas.my/id/eprint/17588/ Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification Lee, Hung Liew Yin, Chai Wang WaiShiang, Cheah QA75 Electronic computers. Computer science Geometric distortions are inevitable in aerial images. A raw uncalibrated aerial image acquired from a non-metric digital camera which carried by an aircraft normally has lens and perspective distortions and could not be used directly without undergoing image rectification. Ground control points (GCPs) are important features used in non-parametric approach for aerial image rectification. Although the importance of GCPs in rectifying remote sensing images has been highlighted, not many recent studies research on the quality selection of GCP, effectiveness of GCPs’ distribution and sufficient quantity of GCPs. A simulation test is conducted using grid images to examine the effect of different distribution patterns of control points on distortions and geometric transformations. The rectification results are measured by using the total root mean square error (RMSE). It shows that lower order global transformation has limitation in rectifying images with complex distortions. It also demonstrates that centre distribution gives the lowest total RMSE and its total RMSE is extremely low. However, the distance analysis of control points which reflects the distortion rate before rectification shows that control points distributed at the centre of the image is actually much less distorted than control points that are placed at border and corner. Hence, uniform distribution provides better distribution of control points with the consideration of overall deformation rates at the entire image for rectification. Elsevier 2012 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17588/1/Evaluation.pdf Lee, Hung Liew and Yin, Chai Wang and WaiShiang, Cheah (2012) Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification. Procedia Engineering, 41. pp. 1002-1008. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812026756 doi : 10.1016/j.proeng.2012.07.275
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Lee, Hung Liew
Yin, Chai Wang
WaiShiang, Cheah
Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification
description Geometric distortions are inevitable in aerial images. A raw uncalibrated aerial image acquired from a non-metric digital camera which carried by an aircraft normally has lens and perspective distortions and could not be used directly without undergoing image rectification. Ground control points (GCPs) are important features used in non-parametric approach for aerial image rectification. Although the importance of GCPs in rectifying remote sensing images has been highlighted, not many recent studies research on the quality selection of GCP, effectiveness of GCPs’ distribution and sufficient quantity of GCPs. A simulation test is conducted using grid images to examine the effect of different distribution patterns of control points on distortions and geometric transformations. The rectification results are measured by using the total root mean square error (RMSE). It shows that lower order global transformation has limitation in rectifying images with complex distortions. It also demonstrates that centre distribution gives the lowest total RMSE and its total RMSE is extremely low. However, the distance analysis of control points which reflects the distortion rate before rectification shows that control points distributed at the centre of the image is actually much less distorted than control points that are placed at border and corner. Hence, uniform distribution provides better distribution of control points with the consideration of overall deformation rates at the entire image for rectification.
format Article
author Lee, Hung Liew
Yin, Chai Wang
WaiShiang, Cheah
author_facet Lee, Hung Liew
Yin, Chai Wang
WaiShiang, Cheah
author_sort Lee, Hung Liew
title Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification
title_short Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification
title_full Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification
title_fullStr Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification
title_full_unstemmed Evaluation of Control Points’ Distribution on Distortions and Geometric Transformations for Aerial Images Rectification
title_sort evaluation of control points’ distribution on distortions and geometric transformations for aerial images rectification
publisher Elsevier
publishDate 2012
url http://ir.unimas.my/id/eprint/17588/1/Evaluation.pdf
http://ir.unimas.my/id/eprint/17588/
http://www.sciencedirect.com/science/article/pii/S1877705812026756
_version_ 1745566036054245376
score 13.211869

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