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Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation pp 363–372Cite as

Modeling PolSAR Image with L-Distribution and the Parameter Estimation Method

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Abstract

The product model, in which the background radar signals are modeled as a product between a texture component and a Gaussian speckle, is an effective method to analyze PolSAR image especially in non-Gaussian case. In this paper, the generalized gamma distribution (\( \text{G}\Gamma\text{D} \)) is chosen as the texture component and the PolSAR image can be modeled with L-distribution provided that the speckle is Gaussian. The parameter estimation method of L-distribution based on matrix log-cumulants (MLCs) is proposed aimed at the computational complexity of the estimation based on moment. The correctness of modeling with L-distribution and the validity of the derivation of the estimator are verified though real data.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant 61372165. The authors are also grateful to European Space Agency for providing the PolSAR data.

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Authors and Affiliations

  1. School of Electronic Engineering, Naval University of Engineering, 717 Jiefang Road, Wuhan, 430033, China

    Hao-gui Cui, Yu-zhong Jiang, Tao Liu & Jun Gao

Authors
  1. Hao-gui Cui
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  2. Yu-zhong Jiang
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  3. Tao Liu
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  4. Jun Gao
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Corresponding author

Correspondence to Hao-gui Cui .

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Editors and Affiliations

  1. Tianjin, China

    Ershi Qi

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© 2016 Atlantis Press and the author(s)

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Cui, Hg., Jiang, Yz., Liu, T., Gao, J. (2016). Modeling PolSAR Image with L-Distribution and the Parameter Estimation Method. In: Qi, E. (eds) Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-145-1_35

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