Aspects of multivariate statistical theorywith the application to change detection

@article{Erten2010AspectsOM,
  title={Aspects of multivariate statistical theorywith the application to change detection},
  author={Esra Erten and Andreas Reigber and Olaf Hellwich},
  journal={2010 IEEE International Geoscience and Remote Sensing Symposium},
  year={2010},
  pages={1960-1963}
}
This paper proposes a new method for change detection measurement includingwhole SAR imagingmodes such as PolIn- SAR, partial PolInSAR and InSAR in a set of multi-temporalmultidimensional SAR images. The method is based on the special case of Kullback-Leibler (KL-divergence) test, known as Mutual Information. In order to develop an algorithm, firstly the joint distribution of PolInSAR data set, based on the second order statistics has been derived. Such a derivation accounts for the whole multi… CONTINUE READING
Highly Influential
This paper has highly influenced 113 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 836 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
527 Citations
8 References
Similar Papers

Citations

Publications citing this paper.

836 Citations

050100'09'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 836 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-8 of 8 references

A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis

  • J. Inglada, G. Mercier, T. CNES
  • IEEE Transactions on Geoscience and Remote…
  • 2007
2 Excerpts

Distribution and characteristic functions for correlated complex Wishart matrices

  • P. J. Smith, L. M. Garth
  • Journal of Multivariate Analysis, vol. 98, no. 4…
  • 2007
1 Excerpt

Similar Papers

Loading similar papers…