Gaussian mixture models for supervised classification of remote sensing multispectral images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2905, Issue , 2003, Pages 440-447

  Oliveira De Melo, Ana Claudia ^a   De Moraes, Ronei Marcos ^a   Dos Santos Machado, Liliane ^a  

^a FEDERAL UNIVERSITY OF PARAÍBA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GAUSSIAN DISTRIBUTION; MAXIMUM LIKELIHOOD; PATTERN RECOGNITION;

CLASSIFICATION PERFORMANCE; GAUSSIAN MIXTURE CLASSIFIERS; GAUSSIAN MIXTURE MODEL; MAXIMUM LIKELIHOOD CLASSIFIERS; MULTISPECTRAL IMAGES; STATISTICAL DISTRIBUTION; SUPERVISED CLASSIFICATION; SUPERVISED CLASSIFIERS;

REMOTE SENSING;

EID: 35248867076     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article

References (14)

1. Kent, J. T.; Mardia, K. V. Spatial classification using fuzzy membership models. IEEE Trans. on Patt. Anal. and Mach. Intel. 10 (1988) 659-671
2. Ho, T. K.; Hull, J. J.; Srihari, S. N.; Decision combination in multiple classifier systems. IEEE Trans. on Patt. Anal. and Mach. Intel. 16 (1994) 66-75
3. Simpson, P. K. Artificial Neural Systems. Pergamon Press, New York (1990)
4. Moraes, R. M.; Sandri, S. A.; Banon, G. J. F. Expert Systems Architecture for Image Classification Using Mathematical Morphology Operators. Information Science 142 (2002) 7-21
5. Yang, M. H., Ahuja, N. Gaussian Mixture Model for Human Skin Color and Its Application in Image and Video Databases, Proc. of the SPIE, vol. 3656: Conf. on Storage and Retrieval for Image and Video Databases, San Jose (1999) 458-466
6. Tran, D., Pham, T., Wagner, M., Speaker recognition using Gaussian mixture models and relaxation labeling, in Proceedings of the 3rd World Multiconference on Systemetics, Cybernetics and Informatics/ The 5th Int. Conf. Information Systems Analysis and Synthesis (SCI/ISAS99), USA 6 (1999) 383-389
7. H. Caillol, W. Pieczynski and A. Hillon, Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation, IEEE Trans. on Image Proces. 6 (1977) 425-440
8. W. Pieczynski, J. Bouvrais, and C. Michel, Estimation of generalized mixture in the case of correlated sensors, IEEE Trans. on Image Proces., 9,(2000) 308-311
9. G. Schwartz, Estimating the Dimension of a Model. The Ann. of Stat. 6 (1978) 461-464
10. A.P. Dempster, N.M. Laird and D.B. Rubin, Maximum Likelihood from Incomplete Data via the EM Algorithm. J.R.Statis.Soc. B, 39 (1977) 1-38
11. Akaike, H. A new look at the statistical identification model. IEEE Trans. on Automatic Control, 19 (1974) 716-723.
12. Biernacki, C. and Govaert, G. Choosing models in model-based clustering and discriminant analysis. Technical Report INRIA no. 3509, (1998).
13. Rabiner, L. R., A Tutorial on Hidden Markov Models and Selected Application in Speech Recognition. Proceedings of the IEEE, 77 (1989)
14. Johnson, R. A. and Wichern, D. W., Applied Multivariate Statistical Analysis. Prentice Hall (1998)