A novel technique for optimal feature selection in attribute profiles based on genetic algorithms

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 6, 2013, Pages 3514-3528

  Pedergnana, Mattia ^a,b,c   Marpu, Prashanth Reddy ^d   Mura, Mauro Dalla ^e   Benediktsson, Jon Atli ^a   Bruzzone, Lorenzo ^b  

^a UNIVERSITY OF ICELAND   (Iceland)

^b UNIVERSITY OF TRENTO   (Italy)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

^d KHALIFA UNIVERSITY   (United Arab Emirates)

^e GIPSA LAB   (France)

Author keywords

Attribute profiles (APs); classification; features selection; genetic algorithms (GAs); parallel computing; random forest (RF); remote sensing; support vector machines (SVMs)

Indexed keywords

ATTRIBUTE PROFILES (APS); FEATURES SELECTION; GENETIC ALGORITHM (GAS); RANDOM FORESTS; SUPPORT VECTOR MACHINE (SVMS);

DECISION TREES; GENETIC ALGORITHMS; OPTIMIZATION; PARALLEL ARCHITECTURES; PARALLEL PROCESSING SYSTEMS; REMOTE SENSING; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; CLASSIFICATION; COMPUTER SIMULATION; GENETIC ALGORITHM; IMAGE CLASSIFICATION; MACHINERY; MORPHOLOGY; NUMERICAL MODEL; OPTIMIZATION; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SELECTION; SPATIAL ANALYSIS; SPECTRAL ANALYSIS;

EID: 84878147291     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2224874     Document Type: Article

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