Consensus based classification of multisource remote sensing data

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

Volumn 1857 LNCS, Issue , 2000, Pages 280-289

  Benediktsson, Jon Atli ^a   Sveinsson, Johannes R ^a  

^a UNIVERSITY OF ICELAND   (Iceland)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; RELIABILITY THEORY; REMOTE SENSING; STATISTICAL METHODS; ALGORITHMS;

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CLASSIFICATION SCHEME; CONSENSUS THEORY; DECISION FUSION; MULTISOURCE DATA; MULTISOURCE REMOTE SENSING DATA; STATISTICAL MODELING;

CLASSIFICATION (OF INFORMATION);

EID: 23044520250     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45014-9_27     Document Type: Conference Paper

References (17)

1. Benediktsson, J.A., Swain, P.H.: Consensus theoretic classification methods. IEEE Transactions on Systems Man and Cybernetics. 22 (1992) 688-704.
2. Kanellopoulos, I., Fierens, F., Wilkinson, G.G.: Combination of parametric and neural classifiers for analysis of multi-sensor Remote Sensing imagery. Neural and Stochastic Methods in Image and Signal Processing III (Edited by Su-Shing Chen), Proceedings SPIE 2304 (1994).
3. Serpico S.B. Roli, F.: Classification of multisensor remote-sensing images by structured neural networks. IEEE Transactions on Geoscience and Remote Sensing. 33 (1995) 562-578.
4. Solberg, A.H.: Contextual Data Fusion Applied to Forest Map Revision. IEEE Transactions on Geoscience and Remote Sensing. 37 (1999) 1234-1243.
5. Benediktsson, J.A. Sveinsson, J.R., Swain, P.H.: Hybrid consensus theoretic classification. IEEE Transactions on Geoscience and Remote Sensing. 35 (1997) 833-843.
6. Benediktsson, J.A., Sveinsson, J.R., Ersoy, O.K., Swain, P.H.: Parallel Consensual Neural Networks. IEEE Transactions on Neural Networks. 8 (1997) 54-65.
7. Ruck, D.W., Rogers, S.K., Kabrisky, M., Oxley, M.E., Suter, B.W.: The multilayer perceptron as an approximation to a Bayes optimal discrimination function. IEEE Transactions on Neural Networks. 1 (1990) 296-298.
8. Mani, G.: Lowering Variance of decisions by using artificial neural network portfolios. Neural Computation. 3 (1991) 484-486.
9. Coifman, R.R., Wickerhauser, M.V.: Entropy-based algorithms for best basis selection. IEEE Transactions on Information Theory 38 (1992) 713-718.
10. Larsen, J., Svarer, C., Nonboe Andersen, L., Hansen, L.K.: Adaptive regularization in neural network modeling. Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science 1524. Springer-Verlag, Berlin (1998) 113-132.
11. Nonboe Andersen, L., Larsen, J., Hansen, L.K., Hintz-Madsen, M.: Adaptive regularization of neural classifiers. Proceedings of the IEEE Workshop on Neural Networks for Signal Processing VII. IEEE Press, Piscataway (1997).
12. Michalewicz Z.: Genetic Algorithms + Data Structures = Evolution Programs, Third, Revised and Extended and Edition, Springer-Verlag, New York (1995).
13. Yao, L., Seathers, W.A.: Nonlinear parameter estimation via the genetic algorithm. IEEE Transactions on Signal Processing 42 (1994) 927-935.
14. Cho, S-B, Kim, J.H.: Multiple network fusion using fuzzy logic. IEEE Transactions on Neural Networks 6 (1995) 497-501.
15. Kosko, B.: Neural Networks and Fuzzy Systems, A Dynamical Systems Approach to Machine Intelligence. Prentice Hall, Englewood Cliffs, N.J. (1992).
16. Richards, J.A., Jia, X.: Remote Sensing Digital Image Analysis, An Introduction. Third, Revised and Enlarged Edition. Springer-Verlag, Berlin (1999).
17. Benediktsson, J.A., Benediktsson K. Hybrid consensus theoretic classification with pruning and regularization, Proceedings of the 1999 International Geoscience and Remote Sensing Symposium (IGARSS '99). Hamburg, Germany (1999) 2486-2488.