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inventory using Landsat digital imagery and collateral data’, International Journal of Remote Sensing 2, 15–41.

Strahler, A.H., Logan, T.L., and Bryant, N.A. (1978) ‘Improving forest cover classification accuracy from Landsat by incorporating topographic information’, Proceedings of the Twelfth International Symposium on Remote Sensing of Environment, Environmental Research Institute of Michigan (ERIM), Ann Arbor, MI, pp. 927–42.

Strat, T.M. (1984) ‘Continuous belief functions for evidential reasoning’, in Proceedings of the Fourth National Conference on Artificial Intelligence, 6–10 August, Austin, TX, pp. 308–13.

Swain, P.H. and Hauska, H. (1977) ‘The decision tree classifier: design and potential’, IEEE Transactions on Geoscience and Remote Sensing 15, 142–7.

Swain, P.H. and Davis, S.M. (1978) Remote Sensing: The Quantitative Approach . New York: McGraw-Hill.

Swain, P.H., Siegel, H.J. and Smith, B.W. (1980) ‘Contextual classification of multispectral remote sensing data using a multiprocessor system’, IEEE Transactions on Geoscience and Remote Sensing 18, 197–203.

Swartz, A.A., Yueh, H.A., Kong, J.A., Novak, L.M. and Shin, R.T. (1984) ‘Optimum polarisations for achieving maximum contrast in radar images’, Journal of Geophysical Research 93, 15252–60.

Switzer, P. and Green, A.A. (1984) Min/Max Autocorrelation Factors for Multivariate Spatial Imagery’, Tech. Report No. 6, Department of Statistics, Stanford University, Stanford, CA.

Szeliski, R. (1989) Bayesian Modeling of Uncertainty in Low-level Vision’. Rotterdam: Kluwer.

Takagi, H. and Sugeno, M. (1985) ‘Fuzzy identification of systems and its application to modelling and control’, IEEE Transactions on Systems, Man, and Cybernetics 15, 116–32.

Takagi, H. and Hayashi, L. (1991) ‘NN-driven fuzzy reasoning’, International Journal of Approximate Reasoning 5, 191–212.

Tanré, D., Deroo, C., Duhaut, P., Herman, M., Morcette, J.J., Perbos, J. and Deschamps, P.Y. (1986) ‘Simulation of the satellite signal in the solar spectrum (5S)’, Technical Report, Laboratoire d’Optique Atmospherique, Université des Sciences et Techniques de Lille, France.

——(1990) ‘Description of a computer code to simulate the satellite signal in the solar spectrum: the 5S code’, International Journal of Remote Sensing 11, 659–68.

Teillet, P.M. (1986) ‘Image correction for radiometric effects in remote sensing’, International Journal of Remote Sensing 7, 1637–51.

Teillet, P.M. and Fedosejevs, G. (1995) ‘On the dark target approach to atmospheric correction of remotely sensed data’, Canadian Journal of Remote Sensing 21, 374–87.

Terzopoulos, D. (1984) Multiresolution computation of visible-surface rep

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Classification Methods for Remotely Sensed Data
Classification Methods for Remotely Sensed Data, Second Edition
ISBN: 1420090720
EAN: 2147483647
Year: 2001
Pages: 354

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