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Investigation on several basic interpolation methods for the use in remote sensing application

Image from satellite is an example of remote sensing data. However, when the resolution of the available satellite image is too coarse and does not meet the required resolution, a process known as image re-sampling need to be employed, so a higher resolution version of the image could be obtained. I...

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Main Authors: Teoh, Kian Kee, Ibrahim, Haidi, Bejo, Siti Khairunniza
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/69613/1/Investigation%20on%20several%20basic%20interpolation%20methods%20for%20the%20use%20in%20remote%20sensing%20application.pdf
http://psasir.upm.edu.my/id/eprint/69613/
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spelling my.upm.eprints.696132019-07-08T02:03:16Z http://psasir.upm.edu.my/id/eprint/69613/ Investigation on several basic interpolation methods for the use in remote sensing application Teoh, Kian Kee Ibrahim, Haidi Bejo, Siti Khairunniza Image from satellite is an example of remote sensing data. However, when the resolution of the available satellite image is too coarse and does not meet the required resolution, a process known as image re-sampling need to be employed, so a higher resolution version of the image could be obtained. Image re-sampling may involve interpolation, which is a process of allocating intensity value into a new generated pixel. Yet, interpolation method usually degrades the image quality. In this paper, five basic interpolation methods have been successfully implemented. These interpolation methods are nearest neighbor interpolation, bilinear interpolation, interpolation with smoothing filter, interpolation with sharpening filter, and interpolation with unsharp masking. The aim of this project is to find interpolation method that is suitable for remote sensing data. The method of our interest is the method that is easy to be implemented, but can preserve the quality of the data in term of sharpness and validness of the information. Based on the results, it is shown that all five interpolation methods tested in this research can produce good quality output when the resolution of input image is high. For low resolution input, only bilinear, smoothing filter and unsharp masking can preserve the quality of the image. However, this is only limited for interpolation with magnification factor less than 5. Bilinear, smoothing filter and unsharp masking are suitable to interpolate remote sensing data if the resolution of the input image is high enough. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69613/1/Investigation%20on%20several%20basic%20interpolation%20methods%20for%20the%20use%20in%20remote%20sensing%20application.pdf Teoh, Kian Kee and Ibrahim, Haidi and Bejo, Siti Khairunniza (2008) Investigation on several basic interpolation methods for the use in remote sensing application. In: IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2008), 12-13 July 2008, Multimedia University, Cyberjaya, Malaysia. (pp. 60-65). 10.1109/CITISIA.2008.4607336
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Image from satellite is an example of remote sensing data. However, when the resolution of the available satellite image is too coarse and does not meet the required resolution, a process known as image re-sampling need to be employed, so a higher resolution version of the image could be obtained. Image re-sampling may involve interpolation, which is a process of allocating intensity value into a new generated pixel. Yet, interpolation method usually degrades the image quality. In this paper, five basic interpolation methods have been successfully implemented. These interpolation methods are nearest neighbor interpolation, bilinear interpolation, interpolation with smoothing filter, interpolation with sharpening filter, and interpolation with unsharp masking. The aim of this project is to find interpolation method that is suitable for remote sensing data. The method of our interest is the method that is easy to be implemented, but can preserve the quality of the data in term of sharpness and validness of the information. Based on the results, it is shown that all five interpolation methods tested in this research can produce good quality output when the resolution of input image is high. For low resolution input, only bilinear, smoothing filter and unsharp masking can preserve the quality of the image. However, this is only limited for interpolation with magnification factor less than 5. Bilinear, smoothing filter and unsharp masking are suitable to interpolate remote sensing data if the resolution of the input image is high enough.
format Conference or Workshop Item
author Teoh, Kian Kee
Ibrahim, Haidi
Bejo, Siti Khairunniza
spellingShingle Teoh, Kian Kee
Ibrahim, Haidi
Bejo, Siti Khairunniza
Investigation on several basic interpolation methods for the use in remote sensing application
author_facet Teoh, Kian Kee
Ibrahim, Haidi
Bejo, Siti Khairunniza
author_sort Teoh, Kian Kee
title Investigation on several basic interpolation methods for the use in remote sensing application
title_short Investigation on several basic interpolation methods for the use in remote sensing application
title_full Investigation on several basic interpolation methods for the use in remote sensing application
title_fullStr Investigation on several basic interpolation methods for the use in remote sensing application
title_full_unstemmed Investigation on several basic interpolation methods for the use in remote sensing application
title_sort investigation on several basic interpolation methods for the use in remote sensing application
publisher IEEE
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/69613/1/Investigation%20on%20several%20basic%20interpolation%20methods%20for%20the%20use%20in%20remote%20sensing%20application.pdf
http://psasir.upm.edu.my/id/eprint/69613/
_version_ 1643839537400512512
score 13.211869

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