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Speckle Filtering Algorithm of PolSAR Imagery Based on Two-Dimensional Polarimetric Subspace ICA

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Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation

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Abstract

To improve the performance of speckle filter on polarimetric synthetic aperture radar (PolSAR) imagery, an ICA algorithm based on two-dimensional polarization subspace is proposed. In this method, the PolSAR data of three channels were divided into three two-dimensional subspaces, and then the speckle noise component and texture component can be separated by the ICA algorithm. The equivalent number of looks (ENL) can be used to evaluate the effect of speckle filter. And an automatic ENL estimation algorithm is introduced to avoid the manual selection of a region with fully developed speckle and no texture. Performance of the novel speckle filter is tested through real data and the results show that the proposed filter is effective and robust.

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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, Gao-ming Huang, Tao Liu & Jun Gao

Authors
  1. Hao-gui Cui
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  2. Gao-ming Huang
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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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Cui, Hg., Huang, Gm., Liu, T., Gao, J. (2016). Speckle Filtering Algorithm of PolSAR Imagery Based on Two-Dimensional Polarimetric Subspace ICA. 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_33

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