Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images

Proceedings of the 2005 UK Workshop on Computational Intelligence, UKCI 2005

Volumn , Issue , 2005, Pages 143-148

  Nascimento, Susana ^b   Casimiro, Hugo ^a   Sousa, Fátima M ^c   Boutov, Dmitri ^c  

^a Dep Informática   (Portugal)

^b UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^c UNIVERSITY OF LISBON   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC IDENTIFICATION; COASTAL OCEAN; FUZZY C-MEANS ALGORITHMS; FUZZY C-PARTITIONS; FUZZY CLUSTERING METHOD; SEA SURFACE TEMPERATURE (SST); UPWELLING AREAS; VALIDATION INDEX;

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC TEMPERATURE; AUTOMATION; COPYING; FUZZY CLUSTERING; OCEANOGRAPHY;

IMAGE SEGMENTATION;

EID: 43949114946     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Bezdek, J.C., and Pal, S.K. (1992). Fuzzy Models for Pattern Recognition. IEEE Press, New York.
2. Bezdek, J.C., Keller, J., Krishnapuram, R., and Pal, S.N. (1999). Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Kluwer Academic Publishers.
3. Coste, B., Fiúza, A.F.G., and Minas, H.-J. (1986). Conditions Hydrologiques et Chimiques Associées a l'Upwelling Côtier du Portugal en Fin d'Été. Oceanologica Acta, 9, 149-158.
4. Davé, R.N. (1992). Boundary Detection Through Fuzzy Clustering. In Proc. FUZZ-IEEE'92, International Conference on Fuzzy Systems, 127134.
5. Fiúza, A.F.G. (1983). Upwelling Patterns Off Portugal, In Coastal Upwelling: Its Sediment Record, part A, edited by E. Suess and J. Thiede, 85-98, Plenum Press, New York.
6. Fiúza, A.F.G. (1984)T. Hydrology and Dynamics of the Portuguese Coastal Waters (in Portuguese). Ph.D. Thesis, Universidade de Lisboa, 294 pp.
7. Fiúza, A.F.G., Macedo, M.E., and Guerreiro, M.R. (1982). Climatological Space and Time Variation of the Portuguese Coastal Upwelling. Oceanologica Acta, 5, 31-40.
8. Jain, A.M., and Dubes, R. (1988). Algorithms that Cluster Data. Englewood Cliffs, NJ, Prentice Hall.
9. Nascimento, S., and Moura-Pires, F. (1997). A Genetic Approach to Fuzzy Clustering with a Validity Measure Fitness Function. In Liu X., Cohen P., and Berthold, M. (Eds.). Advances in Intelligent Data Analysis, Reasoning About Data, Second International Symposium on Intelligent Data Analysis (IDA'97), Springer-Verlag, LNCS 1280, 325-335.
10. Pal, N. R., and Bezdek, J. (1995). On Cluster Validity for the Fuzzy c-Means Model. IEEE Transactions on Fuzzy Systems, 3(3), 370-379.
11. Pal, N.R., and Pal, S.K. (1993). A Review of Image Segmentation Techniques. Pattern Recognition, 26(9), 1277-1294.
12. Sousa, F.M. (1995). Mesoscale Processes Off the Portuguese Coast using Satellite Data and In Situ Observations (in Portuguese). Ph.D. Thesis, Universidade de Lisboa, 167 pp.
13. Sousa, F.M., and Bricaud, A. (1992). SatelliteDerived Phytoplankton Pigment Structures in the Portuguese Upwelling Area, J. of Geophysical Research, 97(C7), 11343-11356.
14. Tizhoosh, H. (1998). Fuzzy Image Processing: Potentials and State of the Art. In Proc. of the 5th Intern. Conference on Soft Computing, vol. 1, 321-324.
15. Xie, X.L., and Beni, G. (1991). A Validity Measure for Fuzzy Clustering. Pattern Anal. Machine Intell. 13(8), 841-847.
16. Widham, M.P. (1982). Cluster Validity for the Fuzzy c-Means Clustering Algorithm. IEEE Trans. on Pattern Anal. Machine Intell., 4(4), 357-363.
17. Wooster, W., Bakun, A., and McLain, D. (1976). The Seasonal Upwelling Cycle Along the Eastern Boundary of the North Atlantic. J. of Marine Research, 34(2), 131-141.