Remote sensing satellite images classification using support vector machine and particle swarm optimization

Proceedings - 3rd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2012

Volumn , Issue , 2012, Pages 280-285

  Soliman, Omar S ^a   Mahmoud, Amira S ^b   Hassan, Safaa M ^b  

^a Cairo University   (Egypt)

^b NATIONAL AUTHORITY FOR REMOTE SENSING AND SPACE SCIENCES   (Egypt)

Author keywords

Image Classification; Nonlinear Kernel Function; Object based; Polynomials mapping; PSO; Remote sensing ASTER satellite imagery; SVM

Indexed keywords

AREA OF INTEREST; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; GEOMETRIC CORRECTION; GLOBAL OPTIMIZATION ALGORITHM; KARUSH KUHN TUCKER CONDITION; MAPPING POLYNOMIALS; NONLINEAR KERNEL FUNCTIONS; OBJECT BASED; PARTICLE SWARM OPTIMIZATION ALGORITHM; POLYNOMIAL KERNELS; PRE-PROCESSING; PSO; RBF KERNEL FUNCTION; REMOTE SENSING SATELLITES; SVM; THRESHOLD ALGORITHMS;

ALGORITHMS; GLOBAL OPTIMIZATION; IMAGE CLASSIFICATION; PARTICLE SWARM OPTIMIZATION (PSO); POLYNOMIALS; REMOTE SENSING; SATELLITE IMAGERY;

SUPPORT VECTOR MACHINES;

EID: 84870725600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IBICA.2012.61     Document Type: Conference Paper

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