Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis

Remote sensing image have been known to be an important part for environmental analysis. Drought early warning system is one of the few example of remote sensing image applications. One of the oldest tool in remote sensing studies, NDVI is often used for drought detection. Although very essential, r...

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Main Authors: Akbar, F., Herman, N. S., Hussin, B.
Format: Conference or Workshop Item
Published: 2011
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Online Access:http://eprints.utem.edu.my/id/eprint/170/
http://dx.doi.org/10.1117/12.913041
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spelling my.utem.eprints.1702011-11-29T04:57:28Z http://eprints.utem.edu.my/id/eprint/170/ Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis Akbar, F. Herman, N. S. Hussin, B. Q Science (General) Remote sensing image have been known to be an important part for environmental analysis. Drought early warning system is one of the few example of remote sensing image applications. One of the oldest tool in remote sensing studies, NDVI is often used for drought detection. Although very essential, remote sensing image requires large storage requirement. A large image data may cause network congestion which certainly affects the aptitude of the drought detection system. An image compression may be used as an approach to this issue. However, this would lead to another issue, image quality. This article emphasize on the effect of image compression through transformation towards remote sensing image. Analysis is conducted through NDVI pixel threshold as well as other complimentary error metric method. Hybrid methods of transformation are presented here for the image transformation process. The experiments performed on test images shows that hybrid transformation is capable of reducing image data and preserving sufficient quality. 2011 Conference or Workshop Item PeerReviewed Akbar, F. and Herman, N. S. and Hussin, B. (2011) Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis. In: International Conference on Graphic and Image Processing (ICGIP 2011), 1 October 2011, Cairo, Egypt . http://dx.doi.org/10.1117/12.913041
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
topic Q Science (General)
spellingShingle Q Science (General)
Akbar, F.
Herman, N. S.
Hussin, B.
Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis
description Remote sensing image have been known to be an important part for environmental analysis. Drought early warning system is one of the few example of remote sensing image applications. One of the oldest tool in remote sensing studies, NDVI is often used for drought detection. Although very essential, remote sensing image requires large storage requirement. A large image data may cause network congestion which certainly affects the aptitude of the drought detection system. An image compression may be used as an approach to this issue. However, this would lead to another issue, image quality. This article emphasize on the effect of image compression through transformation towards remote sensing image. Analysis is conducted through NDVI pixel threshold as well as other complimentary error metric method. Hybrid methods of transformation are presented here for the image transformation process. The experiments performed on test images shows that hybrid transformation is capable of reducing image data and preserving sufficient quality.
format Conference or Workshop Item
author Akbar, F.
Herman, N. S.
Hussin, B.
author_facet Akbar, F.
Herman, N. S.
Hussin, B.
author_sort Akbar, F.
title Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis
title_short Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis
title_full Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis
title_fullStr Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis
title_full_unstemmed Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis
title_sort effect of spectral/spatial transformation on remote sensing image for ndvi-based drought detection analysis
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/170/
http://dx.doi.org/10.1117/12.913041
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