Multiobjective genetic clustering for pixel classification in remote sensing imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 45, Issue 5, 2007, Pages 1506-1511

  Bandyopadhyay, Sanghamitra ^a,b   Maulik, Ujjwal ^a,c   Mukhopadhyay, Anirban ^d  

^a IEEE   (India)

^b INDIAN STATISTICAL INSTITUTE   (India)

^c JADAVPUR UNIVERSITY   (India)

^d UNIVERSITY OF KALYANI   (India)

Author keywords

Cluster validity measures; Fuzzy clustering; Genetic algorithm (GA); Multiobjective optimization (MOO); Pareto optimal; Pixel classification; Remote sensing imagery

Indexed keywords

CLUSTER VALIDITY MEASURES; PARETO OPTIMAL; PIXEL CLASSIFICATION; REMOTE SENSING IMAGERY;

FUZZY CLUSTERING; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; PIXELS; REMOTE SENSING; VECTORS;

IMAGE CLASSIFICATION;

EID: 34247466658     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2007.892604     Document Type: Conference Paper

References (12)

1. U. Maulik and S. Bandyopadhyay, "Fuzzy partitioning using a realcoded variable-length genetic algorithm for pixel classification," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 5, pp. 1075-1081, May 2003.
2. A. K. Jain and R. C. Dubes, Algorithms for Clustering Data. Englewood Cliffs, NJ: Prentice-Hall, 1988.
3. J. T. Tou and R. C. Gonzalez, Pattern Recognition Principles. Reading, MA: Addison-Wesley, 1974.
4. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. New York: Addison-Wesley, 1989.
5. S. Bandyopadhyay and S. K. Pal, "Pixel classification using variable string genetic algorithms with chromosome differentiation," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 303-308, Feb. 2001.
6. K. Deb, Multi-objective Optimization Using Evolutionary Algorithms. Chichester, U.K.: Wiley, 2001.
7. E. Zitzler and L. Thiele, "An evolutionary algorithm for multiobjective optimization: The strength Pareto approach," Swiss Federal Inst. Technol., Zurich, Switzerland, Tech. Rep. 43, 1998.
8. E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: Improving the strength Pareto evolutionary algorithm," Swiss Federal Inst. Technol., Zurich, Switzerland, Tech. Rep. 103, 2001.
9. C. A. Coello Coello, "A comprehensive survey of evolutionary-based multiobjective optimization techniques," Knowl. Inf. Syst., vol. 1, no. 3, pp. 129-156, Aug. 1999.
10. X. L. Xie and G. Beni, "A validity measure for fuzzy clustering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 8, pp. 841-847, Aug. 1991.
11. J. C. Bezdek, Pattern Recognition With Fuzzy Objective Function Algorithms. New York: Plenum, 1981.
12. U. Maulik and S. Bandyopadhyay, "Performance evaluation of some clustering algorithms and validity indices," IEEE Trans. Pattern Anal Mach. Intell., vol. 24, no. 12, pp. 1650-1654, Dec. 2002.