Mean-shift and hierarchical clustering for textured polarimetric SAR image segmentation/classification

@article{Beaulieu2010MeanshiftAH,
  title={Mean-shift and hierarchical clustering for textured polarimetric SAR image segmentation/classification},
  author={Jean-Marie Beaulieu and R. Touzi},
  journal={2010 IEEE International Geoscience and Remote Sensing Symposium},
  year={2010},
  pages={2519-2522}
}
  • Jean-Marie Beaulieu, R. Touzi
  • Published 2010
  • Computer Science
  • 2010 IEEE International Geoscience and Remote Sensing Symposium
    • Image segmentation and unsupervised classification are difficult problems. We propose to combine both. A clustering process is applied over segment mean values. Only large segments are considered. The clustering is composed of a mean-shift step and a hierarchical clustering step. The hierarchical grouping is based upon a powerful segmentation technique previously developed [1]. The approach is applied on a 9-look polarimetric SAR image. Textured and non-textured image regions are considered… CONTINUE READING
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