Utilisation of contour criteria in micro-segmentation of SAR images

  title={Utilisation of contour criteria in micro-segmentation of SAR images},
  author={Jean-Marie Beaulieu},
  journal={International Journal of Remote Sensing},
  pages={3497 - 3512}
  • Jean-Marie Beaulieu
  • Published 1 September 2004
  • Environmental Science
  • International Journal of Remote Sensing
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… 

Pseudo-convex Contour Criterion for Hierarchical Segmentation of SAR Images

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  • Mathematics
    The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)
  • 2006
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  • 2008
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Segmentation of textured scenes using polarimetric SARs

  • Jean-Marie BeaulieuR. Touzi
  • Environmental Science, Mathematics
    IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)
  • 2003
It is shown that image segmentation can be viewed as a likelihood approximation problem and the optimum criterion is derived for segmentation of K-distributed textured polarimetric SAR images.



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