239.

[Cover] [Contents] [Index]

Page 312

evidence’, in Proceedings of IGARSS’89, 12th Canadian Symposium on Remote Sensing, 10–14 July, Vancouver, Canada, 2, pp. 829–32.

——(1995) ‘Evidential reasoning approach to multisource-data classification in remote sensing’, IEEE Transactions on Systems, Man, and Cybernetics 25, 1257–65.

Kindermann, R. and Snell J.L. (1980) Markov Random Fields and Their Applications. Providence, R.I.: American Mathematical Society.

Kneubuehler, M., Shaepman, M., Schlaepfer, D. and Itten, C. (1998) ‘Endmember slection procedures for partial spectral unmixing of DAIS 7915 imaging spectrometer data in highly vegetated areas’, 1st EARSeL Workshop on Imaging Spectroscopy, 6–8 October 1998, Remote Sensing Laboratories, University of Zurich, Switzerland. Paris: EARSeL, pp. 255–61.

Koch, C. (1988) ‘Computing motion in the presence of discontinuities: algorithm and analog networks’, in R.Eckmiller and C.D.Malsburg (eds) Neural Computers, volume F41, NATO ASI Series, pp. 101–10, Berlin: Springer-Verlag.

Kohonen, T. (1982) ‘Self-organized formation of topologically correct feature maps’, Biological Cybernetics 43, 59–69.

——(1988a) ‘An introduction to neural computing’, Neural Networks 1, 3–16.

——(1988b) ‘The “neural” phonetic typewriter’, Computer 21, 11–22.

——(1989) Self-Organization and Associative Memory. New York: John Wiley.

Kong, S.G. and Kosko, B. (1992) ‘Adaptive fuzzy systems for backing up a truck and trailer’, IEEE Transactions on Neural Networks 3, 211–23.

Kosko, B. (1992) Neural Networks and Fuzzy Systems. Englewood Cliffs, NJ: Prentice Hall.

Kowalik, W.S. and Marsh, S.E. (1982) ‘A relation between Landsat Digital Numbers, surface reflectance and the cosine of the solar zenith angle’, International Journal of Remote Sensing 12, 39–55.

Kraaijveld, M.A., Mao, J. and Jain, A.K. (1995) ‘A nonlinear projection method based on Kohonen’s topology preserving maps’, IEEE Transactions on Neural Networks 6, 548–58.

Krishnapuram, R., Frigui, H. and Nasraoui, O. (1991) ‘New fuzzy shell clustering algorithms for boundary detection and pattern recognition’, in Proceedings of SPIE Conference for Robotics and Computer Vision, Boston, MA, November, 1991, 1607, 458–65.

——(1993) ‘Quadric shell clustering algorithms and the detection of second-degree curves’, Pattern Recognition Letters 14, 545–52.

——(1995) ‘Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation’, IEEE Transactions on Fuzzy Systems 3, 29–60.

Krishnapuram, R. and Keller, J.M. (1993) ‘A possibilitic approach to clustering’, IEEE Transactions on Fuzzy Systems 1, 98–110.

[Cover] [Contents] [Index]