Kernel nonparametric weighted feature extraction for hyperspectral image classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 4, 2009, Pages 1139-1155

  Kuo, Bor Chen ^a   Li, Cheng Hsuan ^a,b   Yang, Jinn Min ^c  

^a NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

Author keywords

Feature extraction; Image classification

Indexed keywords

CLASSIFIERS; DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

COMPUTATIONALLY EFFICIENT; GENERALIZED DISCRIMINANT ANALYSIS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATIONS; INDEPENDENT COMPONENTS; KERNEL METHODS; KERNEL-BASED CLASSIFIERS; LINEAR TRANSFORMATIONS; NON-LINEAR TRANSFORMATIONS; NONPARAMETRIC WEIGHTED FEATURE EXTRACTIONS; PATTERN ANALYSIS; PRINCIPAL COMPONENTS;

FEATURE EXTRACTION;

EXPERIMENTAL STUDY; IMAGE CLASSIFICATION; KEROGEN; PARAMETERIZATION; REMOTE SENSING;

EID: 63149143190     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.2008308     Document Type: Article

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