Multisensor image recognition by neural networks with understandable behavior

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 10, Issue 8, 1996, Pages 887-917

  Roli, F ^a,b,c,d  

^a UNIVERSITY OF CAGLIARI   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

^c UNIVERSITY OF TRENTO   (Italy)

^d IEEE

Author keywords

Artificial neural networks; Combination of multiple classifiers; Interpretation of the network behavior; Multisensor image recognition; Remote sensing

Indexed keywords

EID: 0001318811     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001496000517     Document Type: Article

References (31)

1. S. B. Serpico and F. Roli, "Classification of multisensor remote-sensing images by structured neural networks", IEEE Trans. Geoscience and Remote Sensing 33, 3 (1995) 562-578.
2. R. C. Luo and M. Gray, "Multisensor integration and fusion in intelligent systems", IEEE Trans. on Systems, Man, and Cybernetics 19, 5 (1989) 901-931.
3. B. V. Dasarathy, Decision Fusion, IEEE Computer Society Press, 1994.
4. R. Krishnapuram and J. Lee, "Fuzzy-set-based hierarchical networks for information fusion in computer vision", Neural Networks 5, 2 (1992) 335-350.
5. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis, Wiley & Sons, Inc., 1973.
6. J. W. Shavlik, R. J. Mooney, and G. G. Towell, "Symbolic and neural learning algorithms: An experimental comparison", Machine Learning 6 (1991) 111-143.
7. J. Hertz, A. Krogh, and R. G. Palmer, Introduction to the Theory of Neural Computation, Addison Wesley, 1991.
8. M. Minsky, "Logical versus analogical or symbolic versus connectionist or neat versus scruffy", AI Magazine (1991) 35-51.
9. R. M. Goodman, C. M. Higgins, J. W. Miller, and P. Smyth, "Rule-based neural networks for classification and probability estimation", Neural Computation 4 (1992) 781-804.
10. K. J. Cios and N. L. Ning, "A machine learning method for generation of a neural network architecture: A continuous ID3 algorithm", IEEE Trans. Neural Networks 3, 2 (1992) 280-291.
11. R. C. Lacher, S. I. Hruska, and D. C. Kuncicky, "Back-propagation learning in expert networks", IEEE Trans. Neural Networks 3, 1 (1992) 62-72.
12. H. Bischof, A. Pinz, and W. G. Kropatsch, "Visualization methods for neural networks", Proc. 11th Int. Conf. on Pattern Recognition, The Hague, The Netherlands, Aug.-Sept. 1992, pp. 581-585.
13. T. Ash, "Dynamic node creation in backpropagation networks", Connection Science 1, 4 (1989) 365-376.
14. M. C. Mozer and P. Smolesky, "Skeletonization: A technique for trimming the fat from a network via relevance assessment", in Advances in Neural Information Processing Systems, vol. I, ed. D. Touretzky, Morgan Kaufmann, San Mateo, CA, 1989, pp. 107-115.
15. S. E. Fahlman and C. Lebiere, "The cascade-correlation learning architecture", Technical Report CMU-CS-90-100, Carnegie Mellon Univ., USA, Feb. 1990, pp. 1-13.
16. S. I. Gallant, "Connectionist expert systems", Commun. ACM 31, 2 (1988) 152-169.
17. J. W. Shavlik and G. G. Towell, "An approach to combining explanation-based and neural learning algorithms", Connection Science 1, 3 (1989) 231-253.
18. I. K. Sethi, "Entropy nets: from decision trees to neural networks", Proc. IEEE 78, 10 (1990) 1605-1613.
19. E. B. Baum and D. Haussler, "What size network gives valid generalization", Neural Computation 1 (1989) 151-160.
20. R. P. Lippmann, "An introduction to computing with neural networks", IEEE Acoustics, Speech and Signal Processing Mag. 4, 2 (1987) 4-22.
21. G. E. Hinton, "Preface to the special issue on connectionist symbol processing", Artificial Intelligence 46, 1-2 (1990) 1-4.
22. J. N. Hwang and H. Li, "Interactive query learning for isolated speech recognition", IEEE Int. Workshop on Neural Networks for Signal Processing, Denmark, Sept. 1992, IEEE Press, pp. 93-102.
23. H. Gish, "A probabilistic approach to the understanding and training of neural network classifiers", Proc. 1990 Int. Conf. on Acoustic, Speech, and Signal Processing, ICASSP 90, April 1990, pp. 1361-1364.
24. K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, Inc., New York, 2nd edition, 1990, p. 51.
25. L. K. Hansen and P. Salamon, "Neural network ensembles", IEEE Trans. Pattern Analysts and Machine Intelligence 12, 10 (1990) 993-1001.
26. R. Battiti and A. M. Colla, "Democracy in neural nets: voting schemes for classification", Neural Networks 7, 4 (1994) 691-707.
27. L. Xu, A. Krzyzak, and C. Y. Suen, "Methods for combining multiple classifiers and their applications to handwriting recognition", IEEE Trans. on Systems, Man, and Cybernetics 22, 3 (1992) 418-435.
28. Proc. Final Workshop MAESTRO-1 European SAR Campaign, ESTEC, Noordwijk, The Netherlands, March, 1992, European Space Agency Pub.
29. J. A. Richards, Remote Sensing Digital Image Analysis, Second edition, Springer-Verlag, 1993.
30. J. A. Benediktsson, P. H. Swain, and O. K. Ersoy, "Neural network approaches versus statistical methods in classification of multisource remote-sensing data", IEEE Trans. on Geoscience and Remote Sensing 28 (1990) 540-552.
31. L. Bruzzone, C. Conese, F. Maselli, and F. Roli, "Multisource classification of complex rural areas by statistical and neural-network approaches", Int. J. Photogrammetric Engineering and Remote Sensing (PE&RS), 1996, in press.