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Fast Non-Iterative PCA Computation for Spectral Image Analysis Using GPU

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Titel
Fast Non-Iterative PCA Computation for Spectral Image Analysis Using GPU
Serientitel
Teil
42
Anzahl der Teile
43
Autor
Lizenz
CC-Namensnennung - keine Bearbeitung 2.0 UK: England & Wales:
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Herausgeber
Erscheinungsjahr
Sprache
ProduktionsortJoensuu, Finland

Inhaltliche Metadaten

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Genre
Abstract
In this study, we implement a fast non-iterative Principal Component Analysis computation for spectral image analysis by utilizing Graphical Processing Unit GPU. PCA inner product computation efficiency between Central Processing Unit CPU and GPU was examined. Performance was tested by using spectral images with different dimensions and different PCA inner product image counts. It will be shown that the GPU implementation provides about seven times faster PCA computation than the optimized Difference to the commonly used scientific analysis software Matlab is even higher. When spectral image analysis is needed to make in real-time, CPU does not offer the necessary performance for larger spectral images. Therefore, powerful GPU implementation is needed.
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