226.

[Cover] [Contents] [Index]

Page 300

kle filter with improved geometrical adaptivity’, IEEE Transactions on Geoscience and Remote Sensing 33, 1245–57.

Baraldi, A. and Parmiggiani, F. (1995b) ‘An alternative form of the Lee filter for speckle suppression in SAR images’, Computer Vision, Graphics, and Image Processing—Graphical Models and Image Processing, 57, 75–8.

Barnett, J.A. (1981) ‘Computational methods for a mathematical theory of evidence’, in Proceedings of the 7th International Conference on Artificial Intelligence, Vancouver, British Columbia, 868–75.

Barnsley, M.F. (1993) Fractals Everywhere. London: Academic Press.

Barnsley, M.F. and Hurd, L.P. (1993) Fractal Image Compression. Wellesley: AK Peters.

Bavarian, B. and Lo, Z. (1991) ‘On the rate of convergence in topology preserving neural networks’, Biological Cybernetics 65, 55–63.

Benediktsson, J.A., Swain, P.H. and Esroy, O.K. (1990) ‘Neural network approaches versus statistical methods in classification of multisource remote sensing data’, IEEE Transactions on Geoscience and Remote Sensing 28, 540–52.

Benson, B.J. and MacKenzie, M.D. (1995) ‘Effects of sensor spatial resolution on landscape structure parameters’, Landscape Ecology 10, 113–20.

Berry, B.J. L. and Baker, A.M. (1968) ‘Geographical sampling’, in B.J.L.Berry and D.F.Marble (eds.) Spatial Analysis. Englewood Cliffs: Prentice-Hall.

Bersini, H., Saerens, M. and Sotelino, L.G. (1994) ‘Hopfield net generation, encoding and classification of temporal trajectories’, IEEE Transactions on Neural Networks 5, 945–53.

Besag, J. (1974) ‘Spatial interaction and the statistical analysis of lattice systems’, Journal of the Royal Statistical Society 36, 192–236.

——(1986) ‘On the statistical analysis of dirty pictures’, Journal of the Royal Statistical Society 48, 259–302.

Bezdek, J.C. (1981) Pattern Recognition with Fuzzy Objective function Algorithms. New York: Plenum Press.

Bezdek, J.C., Ehrlich, R. and Full, W. (1984) ‘FCM: The fuzzy c-means clustering algorithm’, Computers and Geosciences 10, 191–203.

Bishop, C.M. (1995) Neural Networks for Pattern Recognition. Oxford: Clarendon Press.

Blake, A. and Zisserman, A. (1987) Visual Reconstruction. Cambridge, MA: MIT Press.

Blamire, P.A. (1996) ‘The influence of relative sample size in training artificial neural networks’, International Journal of Remote Sensing 17, 223–230.

Blonda, P. and Bennardo, A. (1996) ‘Logical and neural techniques integration: a review’, in E.Binaghi, P.A.Brivio and A.Rampini (eds) Soft Computing in Remote Sensing Data Analysis. Singapore: World Scientific, pp. 19–25.

[Cover] [Contents] [Index]