Accelerating hyperspectral manifold learning using graphical processing units

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7334, Issue , 2009, Pages

  Velasco Forero, Santiago ^a   Manian, Vidya ^b  

^a PSL RESEARCH UNIVERSITY   (France)

^b UNIVERSITY OF PUERTO RICO   (Puerto Rico)

Author keywords

GPUs; Hyperspectral Image Classification; Manifold Learning

Indexed keywords

FEATURE EXTRACTION ALGORITHMS; GENERAL PURPOSE; GEOMETRICAL PROPERTY; GPUS; GRAPHICAL PROCESSING UNITS; HIGH DIMENSIONAL SPACES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL IMAGE CLASSIFICATION; LAPLACIAN EIGENMAPS; LOCAL LINEAR EMBEDDING; MACHINE-LEARNING; MANIFOLD LEARNING; MANIFOLD LEARNING ALGORITHM; NON-LINEAR MANIFOLD LEARNING; SPATIAL INFORMATIONS; SPECTRAL VALUE; SPEED-UPS;

EDUCATION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; PROGRAM PROCESSORS;

LEARNING ALGORITHMS;

EID: 69949126026     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.820176     Document Type: Conference Paper

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