Dimension reduction aided hyperspectral image classification with a small-sized training dataset: Experimental comparisons

Sensors (Switzerland)

Volumn 17, Issue 12, 2017, Pages

  Su, Jinya ^a   Yi, Dewei ^a   Liu, Cunjia ^a   Guo, Lei ^b   Chen, Wen Hua ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b BEIHANG UNIVERSITY   (China)

Author keywords

Feature extraction selection; Hyperspectral image; Image classification; PCA; SVM

Indexed keywords

EXTRACTION; FEATURE EXTRACTION; HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SEMANTICS; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CLASSIFICATION METHODS; CLASSIFICATION RESULTS; DIMENSION REDUCTION ALGORITHM; EXPERIMENTAL COMPARISON; FEATURE EXTRACTION/SELECTION; LIMITED TRAINING DATA; MACHINE LEARNING COMMUNITIES; REAL-TIME APPLICATION;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTICLE; FEATURE EXTRACTION; FEATURE SELECTION; HUMAN; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 85036455040     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17122726     Document Type: Article

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