A New Dimensionality Reduction Algorithm for Hyperspectral Image Using Evolutionary Strategy

Reducing the redundancy of spectral information is an important technique in classification of hyperspectral image. The existing methods are classified into two categories: feature extraction and band selection. Compared with the feature extraction, the band selection method preserves most of the ch...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2012-11, Vol.8 (4), p.935-943
Hauptverfasser:	Yin, Jihao, Wang, Yifei, Hu, Jiankun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ant colony optimization Band selection Classification Cloning Computation Correlation Feature extraction Genetic algorithms Hyperspectral imaging immune clonal strategy Operations research Optimization Strategy Studies
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