Analyzing hyperspectral and hypertemporal data by decoupling feature redundancy and feature relevance

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 5, 2015, Pages 983-987

  Held, Matthias ^a   Rabe, Andreas ^a   Senf, Cornelius ^a   Van Der Linden, Sebastian ^a   Hostert, Patrick ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

Author keywords

Dimensionality reduction; feature clustering; feature extraction; hyperspectral data; hypertemporal data; supervised classification; support vector machine (SVM) classification

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); IMAGE RETRIEVAL; REDUCTION; REDUNDANCY; SUPPORT VECTOR MACHINES;

DIMENSIONALITY REDUCTION; FEATURE CLUSTERING; HYPERSPECTRAL DATA; HYPERTEMPORAL DATA; SUPERVISED CLASSIFICATION;

FEATURE EXTRACTION;

EID: 85027946574     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2371242     Document Type: Article

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