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...

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Bibliografische gegevens
Hoofdauteurs: Taherzadeh, Ebrahim, Mohd Shafri, Helmi Zulhaidi
Formaat: Conference or Workshop Item
Taal:English
Gepubliceerd in: IEEE 2011
Online toegang:http://psasir.upm.edu.my/id/eprint/48206/1/Using%20hyperspectral%20remote%20sensing%20data%20in%20urban%20mapping%20over%20Kuala%20Lumpur.pdf