Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area
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The Institution of Engineers, Malaysia
2011
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my.unimap-137002011-09-10T07:22:53Z Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area Teoh, Chin Chuang, Dr. Shattri, Mansor Abdul Rashid, Mohamed Shariff Noordin, Ahmad cchin@mardi.my Best Bands Selection Image classification Image visualisation MASTER remotely sensed data Link to publisher's homepage at http://www.myiem.org.my/ 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%. 2011-09-10T07:22:53Z 2011-09-10T07:22:53Z 2006-12 Article The Journal of the Institution of Engineers, Malaysia, vol. 67(4), 2006, pages 34-39 0126-513X http://myiem.org.my/content/iem_journal_2006-177.aspx http://hdl.handle.net/123456789/13700 en The Institution of Engineers, Malaysia |
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| language |
English |
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Best Bands Selection Image classification Image visualisation MASTER remotely sensed data |
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Best Bands Selection Image classification Image visualisation MASTER remotely sensed data Teoh, Chin Chuang, Dr. Shattri, Mansor Abdul Rashid, Mohamed Shariff Noordin, Ahmad Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area |
| description |
Link to publisher's homepage at http://www.myiem.org.my/ |
| author2 |
cchin@mardi.my |
| author_facet |
cchin@mardi.my Teoh, Chin Chuang, Dr. Shattri, Mansor Abdul Rashid, Mohamed Shariff Noordin, Ahmad |
| format |
Article |
| author |
Teoh, Chin Chuang, Dr. Shattri, Mansor Abdul Rashid, Mohamed Shariff Noordin, Ahmad |
| author_sort |
Teoh, Chin Chuang, Dr. |
| title |
Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area |
| title_short |
Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area |
| title_full |
Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area |
| title_fullStr |
Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area |
| title_full_unstemmed |
Image visualisation and classification of MODIS/ASTER Airborne Simulator (MASTER) remotely sensed data for agricultural area |
| title_sort |
image visualisation and classification of modis/aster airborne simulator (master) remotely sensed data for agricultural area |
| publisher |
The Institution of Engineers, Malaysia |
| publishDate |
2011 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/13700 |
| _version_ |
1643790923015913472 |