Skip to main content

The Application of Fuzzy Clustering to Satellite Images Data

  • Chapter
Statistical Methods for Biostatistics and Related Fields

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Bibliography

  • Anderson, J.R., Hardy, E.E., Roach, J.T., and Witmer, R.E. (1976). A Land Use and Land Cover Classification System for Use with Remote Sensor Data, Washington D.C., U.S. Geological Survey, No. Professional paper 964.

    Google Scholar 

  • Ball, G. and Hall, D. (1967). A clustering technique for summarizing multivariate data, Behavioral Science, 12:152:155.

    Google Scholar 

  • Bawahidi, K., Affan, M., Md. Said, M. A. and Razali, R. (2003). The application of remote sensing and GIS in monitoring Land-Use/Land Cover changes for a study area Ipoh, Kuala Lumpur Conference.

    Google Scholar 

  • Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algoritmss, Plenum Press, New York.

    Google Scholar 

  • Dunn, J. C. (1973). A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics 3: 32–57.

    MATH  MathSciNet  Google Scholar 

  • Günther, O., Hess, G., Mutz, M., Riekert, W.-F., and Ruwwe, T. (1993). RESEDA: A Knowledge-Based Advisory System for Remote Sensing, Applied Intelligence, 3(4): 317–341.

    Article  Google Scholar 

  • Günther, O., Radermacher, F. J., and Riekert, W.-F. (1995). Environmental Monitoring: Models, Methods and Systems, in: Avouris, N. M. and Page, B. (eds.), Environmental Informatics, Kluwer Academic Publishers.

    Google Scholar 

  • Hellendorn, H. and Driankov, D. (1998). Fuzzy: Model Identification, Springer Verlag, Heidelberg.

    Google Scholar 

  • Ruspini, E. H. (1969). A New Approach to Clustering, Information Control 15: 22–32.

    Article  MATH  Google Scholar 

  • Schowengerdt, R. A (1997). Remote Sensing, Models and Methods for Image Processing, Academic Press.

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Sofyan, H., Affan, M., Bawahidi, K. (2007). The Application of Fuzzy Clustering to Satellite Images Data. In: Statistical Methods for Biostatistics and Related Fields. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-32691-5_19

Download citation

Publish with us

Policies and ethics