Accelerating a Geometrical Approximated PCA Algorithm Using AVX2 and CUDA

Remote sensing data has known an explosive growth in the past decade. This has led to the need for efficient dimensionality reduction techniques, mathematical procedures that transform the high-dimensional data into a meaningful, reduced representation. Projection Pursuit (PP) based algorithms were...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 12; H. 12; S. 1918
Hauptverfasser:	Machidon, Alina, Machidon, Octavian, Ciobanu, Cătălin, Ogrutan, Petre
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 01.06.2020
Schlagworte:	algorithms computer software CUDA data collection energy GPU hyperspectral imagery image analysis parallel computing Principal Component Analysis remote sensing SIMD spatial data
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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