2009, English, Article edition: Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models Bombrun, Lionel; Beaulieu, Jean-Marie; Vasile, Gabriel; ...

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Bookmark: http://trove.nla.gov.au/version/206415
Physical Description
  • text
Published
  • HAL - CCSD
  • 2009
Language
  • English

Edition details

Title
  • Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
Author
  • Bombrun, Lionel
  • Beaulieu, Jean-Marie
  • Vasile, Gabriel
  • Ovarlez, Jean-Philippe
  • Pascal, Frédéric
  • Gay, Michel
Published
  • HAL - CCSD
  • 2009
Physical Description
  • text
Subjects
Notes
  • In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV) estimation scheme, the scalar texture parameter and the normalized covariance matrix are extracted. If the texture parameter is modeled by a Fisher PDF, the observed target scattering vector follows a KummerU PDF. Then, this PDF is implemented in a hierarchical segmentation algorithm. Segmentation results are shown on high resolution PolSAR data at L and X band.
  • HAL:hal-00398923, version 1
  • HAL:http:/​/​hal.archives-ouvertes.fr/​hal-00398923/​en/​
Language
  • English
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