Fisher Distribution for Texture Modeling of Polarimetric SAR Data

@article{Bombrun2008FisherDF,
  title={Fisher Distribution for Texture Modeling of Polarimetric SAR Data},
  author={L. Bombrun and Jean-Marie Beaulieu},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2008},
  volume={5},
  pages={512-516}
}
  • L. Bombrun, Jean-Marie Beaulieu
  • Published 2008
  • Mathematics, Computer Science
  • IEEE Geoscience and Remote Sensing Letters
  • The multilook polarimetric synthetic aperture radar (PolSAR) covariance matrix is generally modeled by a complex Wishart distribution. For textured areas, the product model is used, and the texture component is modeled by a Gamma distribution. In many cases, the assumption of Gamma-distributed texture is not appropriate. The Fisher distribution does not have this limitation and can represent a large set of texture distributions. As an example, we examine its advantage for an urban area. From a… CONTINUE READING
    123 Citations

    Figures, Tables, and Topics from this paper

    Segmentation of Polarimetric SAR Data based on the Fisher Distribution for Texture Modeling
    • 7
    • PDF
    The WGΓ Distribution for Multilook Polarimetric SAR Data and Its Application
    • 14
    Maximum-Likelihood Parameter Estimation of the Product Model for Multilook Polarimetric SAR Data
    • N. Bouhlel, S. Méric
    • Mathematics, Computer Science
    • IEEE Transactions on Geoscience and Remote Sensing
    • 2019
    • 3
    • PDF
    Variational Learning of Mixture Wishart Model for PolSAR Image Classification
    • 3
    • Highly Influenced
    Higher Order Statistics for Texture Analysis and Physical Interpretation of Polarimetric SAR Data
    • 8
    • PDF
    Change Detection of Multilook Polarimetric SAR Images Using Heterogeneous Clutter Models
    • 43

    References

    SHOWING 1-10 OF 16 REFERENCES
    Optimal speckle reduction for the product model in multilook polarimetric SAR imagery and the Wishart distribution
    • A. Lopes, F. Séry
    • Mathematics, Computer Science
    • IEEE Trans. Geosci. Remote. Sens.
    • 1997
    • 116
    K-distribution for multi-look processed polarimetric SAR imagery
    • 135
    A new statistical model for Markovian classification of urban areas in high-resolution SAR images
    • 363
    Segmentation of textured polarimetric SAR scenes by likelihood approximation
    • 102
    • PDF
    Unsupervised classification using polarimetric decomposition and the complex Wishart classifier
    • 815
    Probability density functions for multilook polarimetric signatures
    • 111
    Application de la transformée de Mellin : étude des lois statistiques de l'imagerie cohérente
    • 35
    • Highly Influential
    • PDF
    A numerical procedure to gener ate a sample covariance matrix,”Journal of the American Statistical Association
    • vol. 61,
    • 1966