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
    View on IEEE
    hal.archives-ouvertes.fr
    123 Citations
    Highly Influential Citations
    9
    Background Citations
    52
    Methods Citations
    53

    Figures, Tables, and Topics from this paper

    Figures and Tables

    Explore Further: Topics Discussed in This Paper

    123 Citations
    Citation Type

    Citation Type

    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
    SEGMENTATION AND CLASSIFICATION OF POLARIMETRIC SAR DATA BASED ON THE KUMMERU DISTRIBUTION
    • 6
    • PDF
    Simulation of spatially correlated PolSAR images using inverse transform method
    • 9
    Multilook polarimetric SAR data probability density function estimation using a generalized form of multivariate K-distribution
    • 8
    Variational Textured Dirichlet Process Mixture Model With Pairwise Constraint for Unsupervised Classification of Polarimetric SAR Images
    • 2
    • 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
    A Numerical Procedure to Generate a Sample Covariance Matrix
    • 159
    Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables
    • 17,957
    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