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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/13700
Title: | Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area |
Authors: | Teoh, Chin Chuang, Dr. Shattri, Mansor Abdul Rashid, Mohamed Shariff Noordin, Ahmad cchin@mardi.my |
Keywords: | Best Bands Selection Image classification Image visualisation MASTER remotely sensed data |
Issue Date: | Dec-2006 |
Publisher: | The Institution of Engineers, Malaysia |
Citation: | The Journal of the Institution of Engineers, Malaysia, vol. 67(4), 2006, pages 34-39 |
Abstract: | A Best Band Selection Index (BBSI) algorithm to select the best band combination for image visualization and classification of high spectral resolution remotely sensed dataset was introduced in this paper. The BBSI is calculated by two components, one based on class mean (or cluster mean) difference and the other based on correlation coefficients. Using MODIS/ASTER A i r b o r n e Simulator (MASTER) images taken over Jertih, Te rengganu in 2000 as the test dataset, the BBSI correctly predicted the best t h ree-band combination that provided useful information for visualization of the image to collect training samples in superv i s e d classification. The BBSI also accurately selected the best four-band combination that produced high overall accuracy classification map with value of 89.7%. |
Description: | Link to publisher's homepage at http://www.myiem.org.my/ |
URI: | http://myiem.org.my/content/iem_journal_2006-177.aspx http://dspace.unimap.edu.my/123456789/13700 |
ISSN: | 0126-513X |
Appears in Collections: | IEM Journal |
Files in This Item:
File | Description | Size | Format | |
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034-039-image visualization.pdf | 1.22 MB | Adobe PDF | View/Open |
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