UPM Institutional Repository

Change detection using a local similarity measure


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).


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.

Download File

PDF (Abstract)
Change detection using a local similarity measure.pdf

Download (33kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/CITISIA.2008.4607332
Publisher: IEEE
Keywords: Change detection; Image thresholding; Local similarity measure
Depositing User: Nabilah Mustapa
Date Deposited: 14 Jul 2016 02:24
Last Modified: 14 Jul 2016 02:24
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/CITISIA.2008.4607332
URI: http://psasir.upm.edu.my/id/eprint/47664
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item