Kernel based subspace projection of near infrared hyperspectral images of maize kernels

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5575 LNCS, Issue , 2009, Pages 560-569

  Larsen, Rasmus ^a   Arngren, Morten ^a,b   Hansen, Per Waaben ^b   Nielsen, Allan Aasbjerg ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b Foss   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION FACTOR; DATA EXAMPLES; EXPLORATORY ANALYSIS; HIGHER-DIMENSIONAL; HYPER-SPECTRAL CAMERAS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; IMAGING DEVICE; KERNEL METHODS; KERNEL PRINCIPAL COMPONENT; LINEAR METHODS; LINEAR PROJECTIONS; LINESCANNING; MAIZE KERNELS; NEAR INFRARED; NON-LINEAR TRANSFORMATIONS; SPATIAL AUTOCORRELATIONS; SUBSPACE PROJECTION; SUBSPACE PROJECTION METHODS;

COMPUTATIONAL COMPLEXITY; CORRELATION DETECTORS; IMAGE ANALYSIS; INFRARED DEVICES; INTERFERENCE SUPPRESSION; MATHEMATICAL TRANSFORMATIONS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 70350680347     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02230-2_57     Document Type: Conference Paper

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