Knowledge-based segmentation of SAR data with learned priors

@article{Haker2000KnowledgebasedSO,
  title={Knowledge-based segmentation of SAR data with learned priors},
  author={Steven Haker and Guillermo Sapiro and Allen R. Tannenbaum},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2000},
  volume={9 2},
  pages={299-301}
}
An approach for the segmentation of still and video synthetic aperture radar (SAR) images is described. A priori knowledge about the objects present in the image, e.g., target, shadow and background terrain, is introduced via Bayes' rule. Posterior probabilities obtained in this way are then anisotropically smoothed, and the image segmentation is obtained via MAP classifications of the smoothed data. When segmenting sequences of images, the smoothed posterior probabilities of past frames are… CONTINUE READING
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Knowledge-Based Segmentation of SAR Data with Learned Priors

  •  Allen Tannenbaum, Guillermo Shapiro, Steven Haker
  • IEEE transaction on image processing,
  • 2000

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