Advertisement

Robust Techniques for Data Preprocessing

  • M. A. Brovelli
  • F. Migliaccio
  • L. Mussio
  • O. Sharif
Part of the International Centre for Mechanical Sciences book series (CISM, volume 365)

Abstract

A summary on numerical cartography and digital photogrammetry, taking into account also some aspect of GIS’s and image processing, is presented, in order to list the principal problems of spatially referenced data analysis.

As it is very well known, reliability and robustness are important properties, that may be assured in the data analysis by using suitable advanced techniques, but their introduction in the collocation method is at present problematic.

An attempt to introduce robust estimators in the collocation method, taking into account the different steps in which it is split, has been done and the results are here presented and discussed.

Keywords

Collocation Method Covariance Estimation Image Match Robust Estimator Robust Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Burrough P. A. (1986): Principles of Geographical Information Systems for Land Resources Assessment. Claderon Press, Oxford.Google Scholar
  2. 2.
    Cressie N. A. C. (1991): Statistics for Spatial Data. John Wiley & Sons, New York.MATHGoogle Scholar
  3. 3.
    Foley J. D., Dam A., Feiner S. K., Hughes J. F. (1990): Computer Graphics - Principles and Practice. Addison-Wesley Publishing Company, Reading, Massachusetts.Google Scholar
  4. 4.
    Gonzalez R. C., Woods R. E. (1992): Digital Image Processing. Addison-Wesley Publishing Company, Reading, Massachusetts.Google Scholar
  5. 5.
    Hempel F. R., Ronchetti E. M., Rousseeuw P. J., Stahel W. A. (1986): Robust Statistics - The Approach Based on Influence Functions. John Wiley & Sons, New York.Google Scholar
  6. 6.
    Hoschek J., Lasser D., Schumaker L. L. (1989): Fundamentals of Computer Aided Geometric Design. A. K. Peters, Wellesley, Massachusetts.Google Scholar
  7. 7.
    Laurini R., Thomson D. (1992): Fundamentals of Spatial Information Systems. Academic Press, London.MATHGoogle Scholar
  8. 8.
    Lim J. S. (1990): Two-Dimensional Signal And Image Processing. P. T. R. Prentice Hall, Englewood Cliffs, New Jersey.Google Scholar
  9. 9.
    Maguire D. J., Goodchild M. F., Rhind D.W. (1991): Geographical Information Systems - Principles and Applications - Volume 1: Principles - Volume 2: Applications. Longman Scientific & Technical, John Wiley & Sons, New York.Google Scholar
  10. 10.
    Rousseeuw P. J., Leroy A. M. (1987): Robust Regression and Outlier Detection. John Wiley & Sons, New York.CrossRefMATHGoogle Scholar
  11. 11.
    Lothar S. (1982): Applied Statistics - Method look of Techniques. Springer-Verlag, New York.Google Scholar
  12. 12.
    Schowengerd R. A. (1983): Techniques for Image Processing and Classification in Remote Sensing. Academic Press, New York.Google Scholar

Copyright information

© Springer-Verlag Wien 1996

Authors and Affiliations

  • M. A. Brovelli
    • 1
  • F. Migliaccio
    • 1
  • L. Mussio
    • 1
  • O. Sharif
    • 1
  1. 1.Polytechnic of MilanMilanItaly

Personalised recommendations