Applied PSO-RBF to aerial and satellite remote sensing image texture classification

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University

Volumn 34, Issue 9, 2009, Pages 1051-1054

  Li, Linyi ^a   Li, Deren ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Kernel function parameter selection; Particle swarm optimization; RBF neural network; Texture classification

Indexed keywords

COMBINED ALGORITHMS; EVOLUTIONARY COMPUTING; KERNEL FUNCTION PARAMETER SELECTION; KERNEL FUNCTION PARAMETERS; OPTIMIZATION PROBLEMS; RBF NEURAL NETWORK; SATELLITE REMOTE SENSING; SWARM INTELLIGENCE; TEXTURE CLASSIFICATION;

CELLULAR AUTOMATA; IMAGE RECONSTRUCTION; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REMOTE SENSING; TEXTURES;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ARTIFICIAL NEURAL NETWORK; IMAGE CLASSIFICATION; OPTIMIZATION; REMOTE SENSING; SATELLITE IMAGERY;

EID: 70349376919     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. 2003, 12(3):7-9
2. 2006, 18 (1): 181-184
3. Kennedy J, Eberhart R. Particle swarm optimization[C]. IEEE International Conference on Neural Networks, Perth, Australia, 1995
4. 2007, 32(9):791-795
5. 2006, 31(4): 316-320
6. Shi Y, Eberhart R. A modified particle swarm optimizer[C]. IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, 1998
7. 2004, 40(18):74-76
8. 2006
9. 2005