Using hyperspectral remote sensing data in urban mapping over Kuala Lumpur
Hyperspectral remote sensing has great application potential for analyzing complex urban scenes. In this study, airborne hyperspectral data over part of Kuala Lumpur, Malaysia were used to classify 14 urban classes. In order to do the classification, Support Vector Machine (SVM) was used. Some filte...
| Hoofdauteurs: | , |
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| Formaat: | Conference or Workshop Item |
| Taal: | English |
| Gepubliceerd in: |
IEEE
2011
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| Online toegang: | http://psasir.upm.edu.my/id/eprint/48206/1/Using%20hyperspectral%20remote%20sensing%20data%20in%20urban%20mapping%20over%20Kuala%20Lumpur.pdf |