Feature reduction of hyperspectral images: Discriminant analysis and the first principal component

When the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. In this paper, we propose a supervised feature extraction method based on discriminant analysis (DA) which uses the first principal component (PC1) to weight the scatt...

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Bibliographic Details
Main Authors: Maryam Imani, Hassan Ghassemian
Format: Article
Language:English
Published: Shahrood University of Technology 2015-01-01
Series:Journal of Artificial Intelligence and Data Mining
Subjects:
Online Access:http://jad.shahroodut.ac.ir/article_385_8129a3985b54cdade8d7251e35fca4ff.pdf