A technique for feature selection in multiclass problems

International Journal of Remote Sensing

Volumn 21, Issue 3, 2000, Pages 549-563

  Bruzzone, L ^a   Serpico, S B ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION; IMAGE ANALYSIS; LAND COVER; REMOTE SENSING;

EID: 0034651854     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311600210740     Document Type: Article

References (21)

1. Bruzzone, L., Roli, F., and Serpico, S. B., 1995, An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection. IEEE Transactions on Geoscience and Remote Sensing, 33, 1318-1321.
2. Devijver, P. A., 1974, On a new class of bounds on Bayes risk in multihypothesis pattern recognition. IEEE Transactions on Computer, 23, 70-80.
3. Fukunaga, K., 1990, Introduction to Statistical Pattern Recognition, 2nd edn (New York: Academic Press).
4. Garber, F. D., and Djouadi, A., 1988, Bounds on the bayes classification error based on pairwise risk functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 281-288.
5. Hellman, M. E., and Ravrv, J., 1970, Probability of error, equivocation, and the Chernoff bound. IEEE Transactions on Information Theory, IT-16, 368-372.
6. Jain, A., and Zongker, D., 1997, Feature selection: evaluation, application and small sample performances. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19, 153-158.
7. Kaila™, T., 1967, The divergence and the Bhattacharyya distance measures in signal selection. IEEE Transactions on Communication Technology, 15, 52-60.
8. Krishnan, S., Samudravuaya, K., and Rao, P. V. S., 1996, Feature selection for pattern classification with gaussian mixture models: a new objective criterion. Pattern Recognition Letters, 17, 803-809.
9. Lainiotis, D. G., 1969, A class of upper bounds on probability of error for multihypotheses pattern recognition. IEEE Transactions on Information Theory, IT-15, 730-731.
10. Lainiotis, D. G., and Park, S. K., 1971, Probability of error bounds. IEEE Transactions on Systems, Man, and Cybernetics, 175-178.
11. Lee, C., and Landgrebe, D. A., 1993, Feature extraction based on decision boundaries. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15, 388-400.
12. Liu, S. S., and Jernigan, M. E., 1990, Texture analysis and discrimination in additive noise. Computer Vision, and Image Processing, 49, 52-67.
13. Mausel, P. W., Kramber, W. J., and Lee, J. K., 1990, Optimum band selection for supervised classification of multispectral data. Photogrammetric Engineering and Remote Sensing, 56, 55-60.
14. Novovicova, J., Pudil, P., and Kitner, J., 1996, Divergence based feature selection for multimodal class densities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 218-223.
15. Pudil, P, Novovicova, J., and Kimer, J., 1994, Floating search methods in feature selection. Pattern Recognition Letters, 15, 1119-1125.
16. Richards, J. A., 1993, Remote Sensing: Digital Image Analysis, 2nd edn (New York: Springer).
17. Schowengerdt, R. A., 1997, Remote Sensing: Models and Methods for Image Processing, 2nd edn (New York: Academic Press).
18. Siedlecki, W., and Sklansky, J., 1989, A note on genetic algorithms for large-scale feature selection. Pattern Recognition Letters, 10, 335-347.
19. Swain, P. H., and Davis, S. M., 1978, Remote Sensing: The Quantitative Approach (New York: McGraw-Hill).
20. Thomas, I. L., Ching, N. P., Benning, V. M., and D'Aguanno, J. A., 1987, A review of multi-channel indices of class separability. International Journal of Remote Sensing, 8, 331-350.
21. Tou, J. T., and Gonzalez, R. C., 1974, Pattern Recognition Principles (London: Addison- Wesley).