Utilisation of contour criteria in micro-segmentation of SAR images

@inproceedings{Beaulieu2004UtilisationOC,
  title={Utilisation of contour criteria in micro-segmentation of SAR images},
  author={Jean-Marie Beaulieu},
  year={2004}
}
The segmentation of SAR (Synthetic Aperture Radar) images is greatly complicated by the presence of coherent speckle. To carry out this process a hierarchical segmentation algorithm based on stepwise optimization is used. It starts with each individual pixel as a segment and then sequentially merges the segment pair that minimizes the criterion. In a hypothesis testing approach, we show how the stepwise merging criterion is derived from the probability model of image regions. The Ward criterion… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-9 OF 9 CITATIONS

Pseudo-convex Contour Criterion for Hierarchical Segmentation of SAR Images

  • Jean-Marie Beaulieu
  • Computer Science
  • The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)
  • 2006
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS

Hierarchical segmentation of polarimetric SAR images

VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND

An Adaptive Technique based on Similarity Measures for Change Detection in Very High Resolution SAR Images

VIEW 1 EXCERPT
CITES METHODS

Segmentation of textured polarimetric SAR scenes by likelihood approximation

VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

Segmentation of textured scenes using polarimetric SARs

  • Jean-Marie Beaulieu, Ridha Touzi
  • Computer Science
  • IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)
  • 2003
VIEW 1 EXCERPT
CITES METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Unsupervised classification using polarimetric decomposition and the complex Wishart classifier

VIEW 1 EXCERPT

Speckle reduction in SAR images-techniques and prospects

  • Gottfried Schwarz, Marc Walessa, Mihai Datcu
  • Computer Science
  • IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development
  • 1997
VIEW 1 EXCERPT