Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine

Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine

This study investigated the performance of different data types used in a hyperspectral data classification process. Data in the form of spectral reflectance, first derivative spectra and wavelet coefficients were used as inputs for the Support Vector Machine (SVM) algorithm used to classify five di...

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Bibliographic Details
Main Authors: Misman, Muhamad Afizzul, Mohd Shafri, Helmi Zulhaidi, Raja Ahmad, Raja Mohd Kamil
Format: Article
Language:English
Published: Asian Network for Scientific Information 2010
Online Access:http://psasir.upm.edu.my/id/eprint/14357/
http://psasir.upm.edu.my/id/eprint/14357/1/Effects%20of%20hyperspectral%20data%20transformations%20on%20urban%20inter-class%20separations%20using%20a%20support%20vector%20machine.pdf

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