Spectral–spatial feature extraction using orthogonal linear discriminant analysis for classification of hyperspectral data

Spectral–spatial feature extraction using orthogonal linear discriminant analysis for classification of hyperspectral data

Hyperspectral image classification is among the most frequent topics of research in recent publications. This paper proposes a new supervised linear feature extraction method for classification of hyperspectral images using orthogonal linear discriminant analysis in both spatial and spectral domains...

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Bibliographic Details
Main Authors: Hamid Reza Shahdoosti, Fardin Mirzapour
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:European Journal of Remote Sensing
Subjects:
Classification
linear discriminant analysis
orthogonal linear discriminant analysis
spatial features
spectral information
hyperspectral imaging
support vector machine
Online Access:http://dx.doi.org/10.1080/22797254.2017.1279821

Internet

http://dx.doi.org/10.1080/22797254.2017.1279821

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