Publications

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1994
P. Pellegretti, Roli, F., Serpico, S. B., and Vernazza, G., “Supervised learning of descriptions for image recognition purposes”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 92-98, 1994.
1995
S. B. Serpico and Roli, F., “Classification of multi-sensor remote- sensing images by structured neural networks”, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 562-578, 1995.
L. Bruzzone, Roli, F., and Serpico, S. B., “An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection”, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 1318-1321, 1995.
F. Roli, Serpico, S. B., and Vernazza, G., “Image Recognition by integration of connectionist and symbolic approaches”, Int. Journal of Pattern Recognition and Artificial Intelligence, vol. 9, pp. 485-515, 1995.
F. Roli and Serpico, S. B., “Land-cover classification in remote-sensing images using structured neural networks”, Int. Journal of EARSel Advances in Remote Sensing, vol. 4, pp. 107-115, 1995.
1996
S. B. Serpico, Bruzzone, L., and Roli, F., “An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images”, Pattern Recognition Letters, vol. 17, pp. 1331-1341, 1996.
F. Roli, Serpico, S. B., and Vernazza, G., “Neural Networks for classification of remotely sensed images”, in Fuzzy Logic and Neural Network Handbook, C. H. C. hen McGraw-Hill, 1996.
1998
A. Jozwik, Serpico, S. B., and Roli, F., “A parallel network of modified 1-NN and k-NN classifiers - Application to remote sensing image classification”, Pattern Recognition Letters, vol. 19, pp. 57-62, 1998.
2001
F. Roli, Giacinto, G., and Serpico, S. B., “Classifier Fusion for Multisensor Image Recognition”, in Image and Signal Processing for Remote Sensing VI, 2001, Sebastiano B. Serpico., vol. 4170, pp. 103-110.
F. Roli and Fumera, G., “Support vector machines for remote-sensing image classification”, in Image and Signal Processing for Remote Sensing VI, 2001, vol. 4170, pp. 160-166.