Genetic algorithms and linear discriminant analysis based dimensionality reduction for remotely sensed image analysis

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2011, Pages 2373-2376

  Cui, Minshan ^a   Prasad, Saurabh ^a   Mahrooghy, Majid ^a   Bruce, Lori M ^a   Aanstoos, James ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Feature Extraction; Feature Subset Selection; Genetic Algorithms; Hyperspectral data; Remotely Sensed Data

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION TASKS; COMBINATORIAL PROBLEM; CURSE OF DIMENSIONALITY; DATA SETS; DIMENSIONALITY REDUCTION; FEATURE SPACE; FEATURE SUBSET; FEATURE SUBSET SELECTION; FEATURE SUBSPACE; FITNESS FUNCTIONS; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGERY; LINEAR DISCRIMINANT ANALYSIS; REMOTELY SENSED DATA; REMOTELY SENSED IMAGES; SAR DATA;

DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; GEOLOGY; OPTIMIZATION; REMOTE SENSING; SET THEORY; SPACE OPTICS;

GENETIC ALGORITHMS;

EID: 80955139745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049687     Document Type: Conference Paper

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