An information theoretic comparison of projection pursuit and principal component features for classification of Landsat TM imagery of central Colorado

International Journal of Remote Sensing

Volumn 21, Issue 15, 2000, Pages 2927-2935

  Bachmann, C M ^a   Donato, T F ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LANDSAT THEMATIC MAPPER;

EID: 0033821083     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160050121339     Document Type: Article

References (10)

1. AUGUSTEIJN, M. F., CLEMENS, L. E., and SHAW, K. A., 1995, Performance evaluation of texture measures for ground cover identification in satellite images by means of a neural network classifier. IEEE Transactions on Geoscience and Remote Sensing, 33, 616-626.
2. Bachmann, C. M., and Donato, T. F., 1999, Mixtures of projection pursuit models: an automated approach to land-cover classification in Landsat Thematic Mapper imagery. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS’99), Hamburg, Germany, 28 June-2 July 1999 (Piscataway, NJ: IEEE), pp. 339-341.
3. Friedman, J. H., 1987, Exploratory projection pursuit. Journal of the American Statistical Association, Theory and Methods, 82, 249-266.
4. Friedman, J. H., and Tukey, J. W., 1974, A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers, 23, 881-890.
5. Horler, D. N. H., and Ahern, F. J., 1986, Forestry information content of Thematic Mapper data. International Journal of Remote Sensing, 7, 405-428.
6. Huber, P. J., 1985, Projection pursuit. Annals of Statistics, 13, 435-475.
7. Huber, T. P., and Casler, K. E., 1990, Initial analysis of Landsat TM data for elk habitat mapping. International Journal of Remote Sensing, 11, 907-912.
8. May, A. M. B., Pinder, J. E., and Kroh, G. C., 1997, A comparison of Landsat Thematic Mapper and SPOT multi-spectral imagery for the classification of shrub and meadow vegetation in Northern California, USA. International Journal of Remote Sensing, 18, 3719-3728.
9. Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P., 1992, Numerical Recipes in C, 2nd edn (Cambridge: Cambridge University Press).
10. Siljestrom, P. A., Moreno, A., Vikgren, K., and Caceres, L. M., 1997, The application of selective principal components analysis (SPCA) to a Thematic Mapper (TM) image for the recognition of geomorphologic features configuration. International Journal of Remote Sensing, 18, 3843-3852.