Change detection using a local similarity measure
In this paper, a new method of change detection and identification of forest area is proposed. It is based on local mutual information and image thresholding. In order to identify the forest change area, the image of local mutual information were thresholded using three different threshold value, i....
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47664/ http://psasir.upm.edu.my/id/eprint/47664/1/Change%20detection%20using%20a%20local%20similarity%20measure.pdf |
| _version_ | 1848850872827641856 |
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| author | Jahari, Mahirah Bejo, Siti Khairunniza Mohamed Shariff, Abdul Rashid Mohd Shafri, Helmi Zulhaidi Ibrahim, Haidi |
| author_facet | Jahari, Mahirah Bejo, Siti Khairunniza Mohamed Shariff, Abdul Rashid Mohd Shafri, Helmi Zulhaidi Ibrahim, Haidi |
| author_sort | Jahari, Mahirah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this paper, a new method of change detection and identification of forest area is proposed. It is based on local mutual information and image thresholding. In order to identify the forest change area, the image of local mutual information were thresholded using three different threshold value, i.e -0.5, 0 and 0.5. The result is a binary change image. Our result shows that the best threshold value of local mutual information is 0. It has been shown that by using this method, the problem on selecting the threshold value can be solved. This method is simple and suitable to be used to detect the changes area even for the images taken from different modality. For this research, IKONOS image with the resolution of 1.0 m dated 11 March 2002 and SPOT image with the resolution of 2.5 m dated 23 January 2008 in Shah Alam, Selangor have been used. |
| first_indexed | 2025-11-15T10:13:12Z |
| format | Conference or Workshop Item |
| id | upm-47664 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:13:12Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-476642016-07-14T02:24:03Z http://psasir.upm.edu.my/id/eprint/47664/ Change detection using a local similarity measure Jahari, Mahirah Bejo, Siti Khairunniza Mohamed Shariff, Abdul Rashid Mohd Shafri, Helmi Zulhaidi Ibrahim, Haidi In this paper, a new method of change detection and identification of forest area is proposed. It is based on local mutual information and image thresholding. In order to identify the forest change area, the image of local mutual information were thresholded using three different threshold value, i.e -0.5, 0 and 0.5. The result is a binary change image. Our result shows that the best threshold value of local mutual information is 0. It has been shown that by using this method, the problem on selecting the threshold value can be solved. This method is simple and suitable to be used to detect the changes area even for the images taken from different modality. For this research, IKONOS image with the resolution of 1.0 m dated 11 March 2002 and SPOT image with the resolution of 2.5 m dated 23 January 2008 in Shah Alam, Selangor have been used. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47664/1/Change%20detection%20using%20a%20local%20similarity%20measure.pdf Jahari, Mahirah and Bejo, Siti Khairunniza and Mohamed Shariff, Abdul Rashid and Mohd Shafri, Helmi Zulhaidi and Ibrahim, Haidi (2008) Change detection using a local similarity measure. In: IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2008), 12-13 July 2008, Multimedia University, Cyberjaya, Malaysia. (pp. 39-43). 10.1109/CITISIA.2008.4607332 |
| spellingShingle | Jahari, Mahirah Bejo, Siti Khairunniza Mohamed Shariff, Abdul Rashid Mohd Shafri, Helmi Zulhaidi Ibrahim, Haidi Change detection using a local similarity measure |
| title | Change detection using a local similarity measure |
| title_full | Change detection using a local similarity measure |
| title_fullStr | Change detection using a local similarity measure |
| title_full_unstemmed | Change detection using a local similarity measure |
| title_short | Change detection using a local similarity measure |
| title_sort | change detection using a local similarity measure |
| url | http://psasir.upm.edu.my/id/eprint/47664/ http://psasir.upm.edu.my/id/eprint/47664/ http://psasir.upm.edu.my/id/eprint/47664/1/Change%20detection%20using%20a%20local%20similarity%20measure.pdf |