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Change detection studies in Matang Mangrove Forest area, Perak

In this research wok, three different techniques of change detection were used to detect changes in forest areas. One of the techniques used a local similarity measure approach to detect changes. This new approach of change detection technique, which used mutual information to measure the similarity...

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Main Authors: Jahari, Mahirah, Bejo, Siti Khairunniza, Mohamed Shariff, Abdul Rashid, Mohd Shafri, Helmi Zulhaidi
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23193/1/%2314%20Pg%20307-327.pdf
http://psasir.upm.edu.my/id/eprint/23193/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2019%20%282%29%20Jul.%202011/%2314%20Pg%20307-327.pdf
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spelling my.upm.eprints.231932016-01-06T02:57:54Z http://psasir.upm.edu.my/id/eprint/23193/ Change detection studies in Matang Mangrove Forest area, Perak Jahari, Mahirah Bejo, Siti Khairunniza Mohamed Shariff, Abdul Rashid Mohd Shafri, Helmi Zulhaidi In this research wok, three different techniques of change detection were used to detect changes in forest areas. One of the techniques used a local similarity measure approach to detect changes. This new approach of change detection technique, which used mutual information to measure the similarity between two multi-temporal images, was developed based on correspondence of the pixel values, rather than the difference in their intensity. Pixels suffering any changes will be maximally dissimilar. The study was conducted using multi-temporal SPOT 5 satellite images, with the resolution of 10 m x10 m on 5th August 2005 and 13th June 2007. The experimental results show that local mutual information provides more reliable results in detecting changes of the multi-temporal images containing different lighting condition compared to the image differencing and NDVI technique, specifically in areas with less plant growth. In addition, it can also overcome the problem on selecting the threshold value. Besides, the findings of this study have also shown that band 3, which is sensitive to vegetation biomass, gave the best result in detecting area of changes compared to the others. Universiti Putra Malaysia Press 2011-07 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23193/1/%2314%20Pg%20307-327.pdf Jahari, Mahirah and Bejo, Siti Khairunniza and Mohamed Shariff, Abdul Rashid and Mohd Shafri, Helmi Zulhaidi (2011) Change detection studies in Matang Mangrove Forest area, Perak. Pertanika Journal of Science & Technology, 19 (2). pp. 307-327. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2019%20%282%29%20Jul.%202011/%2314%20Pg%20307-327.pdf
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 In this research wok, three different techniques of change detection were used to detect changes in forest areas. One of the techniques used a local similarity measure approach to detect changes. This new approach of change detection technique, which used mutual information to measure the similarity between two multi-temporal images, was developed based on correspondence of the pixel values, rather than the difference in their intensity. Pixels suffering any changes will be maximally dissimilar. The study was conducted using multi-temporal SPOT 5 satellite images, with the resolution of 10 m x10 m on 5th August 2005 and 13th June 2007. The experimental results show that local mutual information provides more reliable results in detecting changes of the multi-temporal images containing different lighting condition compared to the image differencing and NDVI technique, specifically in areas with less plant growth. In addition, it can also overcome the problem on selecting the threshold value. Besides, the findings of this study have also shown that band 3, which is sensitive to vegetation biomass, gave the best result in detecting area of changes compared to the others.
format Article
author Jahari, Mahirah
Bejo, Siti Khairunniza
Mohamed Shariff, Abdul Rashid
Mohd Shafri, Helmi Zulhaidi
spellingShingle Jahari, Mahirah
Bejo, Siti Khairunniza
Mohamed Shariff, Abdul Rashid
Mohd Shafri, Helmi Zulhaidi
Change detection studies in Matang Mangrove Forest area, Perak
author_facet Jahari, Mahirah
Bejo, Siti Khairunniza
Mohamed Shariff, Abdul Rashid
Mohd Shafri, Helmi Zulhaidi
author_sort Jahari, Mahirah
title Change detection studies in Matang Mangrove Forest area, Perak
title_short Change detection studies in Matang Mangrove Forest area, Perak
title_full Change detection studies in Matang Mangrove Forest area, Perak
title_fullStr Change detection studies in Matang Mangrove Forest area, Perak
title_full_unstemmed Change detection studies in Matang Mangrove Forest area, Perak
title_sort change detection studies in matang mangrove forest area, perak
publisher Universiti Putra Malaysia Press
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23193/1/%2314%20Pg%20307-327.pdf
http://psasir.upm.edu.my/id/eprint/23193/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2019%20%282%29%20Jul.%202011/%2314%20Pg%20307-327.pdf
_version_ 1643827985542807552
score 13.211869

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