Using hyperspectral remote sensing data in urban mapping over Kuala Lumpur

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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Bibliographic Details
Main Authors: Taherzadeh, Ebrahim, Mohd Shafri, Helmi Zulhaidi
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/48206/
http://psasir.upm.edu.my/id/eprint/48206/1/Using%20hyperspectral%20remote%20sensing%20data%20in%20urban%20mapping%20over%20Kuala%20Lumpur.pdf

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