A effective immune multi-objective algorithm for SAR imagery segmentation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7494, Issue , 2009, Pages

  Yang, Dongdong ^a   Jiao, Licheng ^a   Gong, Maoguo ^a   Si, Xiaoyun ^a   Li, Jinji ^a   Feng, Jie ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Artificial immune system; Data clustering; Imagery segmentation; Multi objective optimization

Indexed keywords

ARTIFICIAL DATA; ARTIFICIAL IMMUNE SYSTEM; CLUSTERING RESULTS; CROSSOVER OPERATIONS; DATA CLUSTERING; EFFECTIVE ALGORITHMS; MULTI OBJECTIVE; MULTI OBJECTIVE ALGORITHM; NUMBER OF CLUSTERS; SAR IMAGERY; SYNTHETIC APERTURE RADAR IMAGERY; VARIABLE LENGTH CHROMOSOME;

CLONING; IMAGE ACQUISITION; IMAGING SYSTEMS; IMMUNOLOGY; MULTIOBJECTIVE OPTIMIZATION; PATTERN RECOGNITION; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

CLUSTERING ALGORITHMS;

EID: 71449108942     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.832363     Document Type: Conference Paper

References (14)

1. R. Xu, and D. Wuhsch, "Survey of clustering algorithm," IEEE Trans NN, 2005,16(3), 645-678.
2. U. Maulik, and S Bandyopadhyay, "Genetic algorithm-based clustering technique," Pattern Recgnition, 2000, 33(9), 1455-1465.
3. D.D., Yang, L.C., Jiao, and M. G., Gong, "Adaptive multi-objective optimization based on nondominated solutions". Computational Intelligence, April 2009, 25(2), 84-108.
4. Y. F., Zhong, L. P., Zhang, J. Y., Gong, and P. X., Li, "A supervised artificial immune classifier for remote sensing imagery," IEEE Trans GRS, 2007, 45(12), 3957-3966.
5. K. Deb, "Multi-objective optimization using evolutionary algorithms," John Wily&Sons, Chichester, UK, 2001, ISBN 0-471-87339-X.
6. J. Handl and J. Knowles, "An evolutionary approach to multi-objective clustering," IEEE Trans EC, 2007, 11(1), 56-76.
7. J. Yoo and P. Hajela, "Immune network simulations in multicriterion design," Structural Optimization, 1999, 18, 85-94.
8. V. Cutello, G. Narzisi and G. Nicosia, "A class of Pareto archived evolution strategy algorithms using immune inspired operators for ab-initio protein structure prediction," Applications of Evolutionary Computing, Evoworkshops 2005, Lausanne, Switzerland, March 30-April 1, 54-63.
9. C. A. Coello Coello and N. C. Cortés, "An approach to solve multi-objective optimization problems based on an artificial immune system", in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 212-221.
10. G. C. Luh, C. H. Chueh, and W. Liu, "MOIA: multi-objective immune algorithm", Engineering Optimization, 2003, 35(2), 143-164.
11. M. G. Gong, L. C. Jiao, H. F Du, and L. F Bo, "Multi-objective immune algorithm with nondominated neighbor-based selection," Evolutionary Computation, 2008, 16(2), 225-255.
12. S. Kukkonen and K. Deb, "A fast and effective method for pruning of nondominated solutions in many-objective problems," In Proceedings of the 9th International Conference on Parallel Problem Solving from Nature (PPSN IX), Reykjavik, Iceland, Sep 2006, pp. 553-562.
13. D.D., Yang, L.C., Jiao, M. G., Gong, and J. Feng, "Adaptive ranks clone and k-nearest neighbors list based immune multi-objective optimization," Submitted to Computational Intelligence.
14. F. Höppner, F. Klawonn, and R. Kruse, "Fuzzy cluster analysis: methods for classification, data analysis, and image recognition,". New York: Wiley, 1999.