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Aerial Images Rectification Using Non-parametric Approach

Geometric distortions caused by different sources usually are accumulated and not present singly in a remotely sensed image. In addition, the effects of geometric distortions are found unequally in the entire image. Hence, aerial images should be rectified before proceed with subsequent images anal...

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Main Authors: Lee, Hung Liew, Beng, Yong Lee, Yin, Chai Wang, Wai, Shiang Cheah
Format: E-Article
Language:English
Published: Journal of Convergence 2013
Subjects:
QA Mathematics
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/5187/1/aerial%20images%20rectification%20using%20non%20-parametic%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/5187/
http://ir.unimas.my/5187/1/aerial%20images%20rectification%20using%20non%20-parametic%20%28abstract%29.pdf
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id my.unimas.ir.5187
record_format eprints
spelling my.unimas.ir.51872015-03-23T06:28:40Z http://ir.unimas.my/id/eprint/5187/ Aerial Images Rectification Using Non-parametric Approach Lee, Hung Liew Beng, Yong Lee Yin, Chai Wang Wai, Shiang Cheah QA Mathematics T Technology (General) Geometric distortions caused by different sources usually are accumulated and not present singly in a remotely sensed image. In addition, the effects of geometric distortions are found unequally in the entire image. Hence, aerial images should be rectified before proceed with subsequent images analysis. Control points and geometric transformation are the essential components in non-parametric approach. Barrel and perspective distortions are usually found in aerial images. This paper studies the deformation rate contributed by control points at different regions in an image before rectification according to different distribution patterns. Besides, this paper also discusses the appropriate geometric transformation through the concern of the expected distortions. Experiments are conducted using grid images and aerial images to investigate the effect of distributions of control points and the efficiency of global and local geometric transformations for aerial images rectification. It demonstrated that control points at different image regions have different deformation rates, control points distributed at image centre are less distorted and local transformation performs better in rectifying images with complex distortions. Journal of Convergence 2013 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/5187/1/aerial%20images%20rectification%20using%20non%20-parametic%20%28abstract%29.pdf Lee, Hung Liew and Beng, Yong Lee and Yin, Chai Wang and Wai, Shiang Cheah (2013) Aerial Images Rectification Using Non-parametric Approach. Journal of Convergence, 4 (2). http://ir.unimas.my/5187/1/aerial%20images%20rectification%20using%20non%20-parametic%20%28abstract%29.pdf
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 QA Mathematics
T Technology (General)
spellingShingle QA Mathematics
T Technology (General)
Lee, Hung Liew
Beng, Yong Lee
Yin, Chai Wang
Wai, Shiang Cheah
Aerial Images Rectification Using Non-parametric Approach
description Geometric distortions caused by different sources usually are accumulated and not present singly in a remotely sensed image. In addition, the effects of geometric distortions are found unequally in the entire image. Hence, aerial images should be rectified before proceed with subsequent images analysis. Control points and geometric transformation are the essential components in non-parametric approach. Barrel and perspective distortions are usually found in aerial images. This paper studies the deformation rate contributed by control points at different regions in an image before rectification according to different distribution patterns. Besides, this paper also discusses the appropriate geometric transformation through the concern of the expected distortions. Experiments are conducted using grid images and aerial images to investigate the effect of distributions of control points and the efficiency of global and local geometric transformations for aerial images rectification. It demonstrated that control points at different image regions have different deformation rates, control points distributed at image centre are less distorted and local transformation performs better in rectifying images with complex distortions.
format E-Article
author Lee, Hung Liew
Beng, Yong Lee
Yin, Chai Wang
Wai, Shiang Cheah
author_facet Lee, Hung Liew
Beng, Yong Lee
Yin, Chai Wang
Wai, Shiang Cheah
author_sort Lee, Hung Liew
title Aerial Images Rectification Using Non-parametric Approach
title_short Aerial Images Rectification Using Non-parametric Approach
title_full Aerial Images Rectification Using Non-parametric Approach
title_fullStr Aerial Images Rectification Using Non-parametric Approach
title_full_unstemmed Aerial Images Rectification Using Non-parametric Approach
title_sort aerial images rectification using non-parametric approach
publisher Journal of Convergence
publishDate 2013
url http://ir.unimas.my/id/eprint/5187/1/aerial%20images%20rectification%20using%20non%20-parametic%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/5187/
http://ir.unimas.my/5187/1/aerial%20images%20rectification%20using%20non%20-parametic%20%28abstract%29.pdf
_version_ 1644509744312877056
score 13.211869

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