基于一般散射模型的Hybrid Freeman/Eigenvalue分解算法
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西安电子科技大学 智能感知与图像理解教育部重点实验室,西安电子科技大学 智能感知与图像理解教育部重点实验室,西安电子科技大学 智能感知与图像理解教育部重点实验室,西安电子科技大学 智能感知与图像理解教育部重点实验室,西安电子科技大学 智能感知与图像理解教育部重点实验室,西安电子科技大学 智能感知与图像理解教育部重点实验室

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国家重点基础研究发展计划(973计划);国家自然科学基金项目(面上项目,重点项目,重大项目)


A novel hybrid Freeman/eigenvalue decomposition with general scattering models
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Ministry of Education Key Lab of Intelligent Perception and Image Understanding,Xidian Univ,Xi’an,Ministry of Education Key Lab of Intelligent Perception and Image Understanding,Xidian Univ,Xi’an,Ministry of Education Key Lab of Intelligent Perception and Image Understanding,Xidian Univ,Xi’an,Ministry of Education Key Lab of Intelligent Perception and Image Understanding,Xidian Univ,Xi’an,Ministry of Education Key Lab of Intelligent Perception and Image Understanding,Xidian Univ,Xi’an,Ministry of Education Key Lab of Intelligent Perception and Image Understanding,Xidian Univ,Xi’an

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    摘要:

    提出了一种新的基于一般散射模型的hybrid Freeman/eigenvalue 分解算法, 用于分析极化合成孔径雷达(PolSAR)数据。文中, 单位矩阵作为体散射模型, 相干矩阵的两个较大特征值对应的特征向量作为表面散射模型和二次散射模型, 并且不需要反射对称条件。新算法有三个优点: 第一, 表面散射和二次散射不需要反射对称条件, 更符合一般散射体的建模; 第二, 因为散射能量是相干矩阵特征值的线性组合, 所以散射能量具有旋转不变性; 第三, 表面散射能量和二次散射能量避免了负值现象。在San Francisco地区的AIRSAR数据上进行了实验, 证明了新算法的有效性。

    Abstract:

    A novel hybrid Freeman/eigenvalue decomposition with general scattering models was proposed for polarimetric synthetic aperture radar (PolSAR) data. A unit matrix represents the volume scattering model, and eigenvectors corresponding to the two larger eigenvalues of the coherency matrix are used as the surface scattering model and double-bounce scattering model for non-reflection symmetry condition. There are three advantages in the proposed hybrid decomposition. Firstly, the surface and double-bounce scattering models are free from the reflection symmetry constraint which is more general and realistic for common media. Secondly, since the scattering powers of the proposed method are solved as linear combinations of the eigenvalues derived from the coherency matrix, they are all roll-invariant parameters. Thirdly, negative powers of surface scattering and double-bounce scattering are avoided with non-rotation of the coherency matrix. Fully PolSAR data on San Francisco are used in the experiments to prove the efficacy of the proposed hybrid decomposition.

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张爽,王爽,焦李成,陈博,刘芳,毛莎莎,柯熙政.基于一般散射模型的Hybrid Freeman/Eigenvalue分解算法[J].红外与毫米波学报,2015,34(3):265~270]. ZHANG Shuang, WANG Shuang, JIAO Li-Cheng, CHEN Bo, LIU Fang, MAO Sha-Sha, KE Xi-Zheng. A novel hybrid Freeman/eigenvalue decomposition with general scattering models[J]. J. Infrared Millim. Waves,2015,34(3):265~270.]

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  • 收稿日期:2014-01-15
  • 最后修改日期:2014-03-13
  • 录用日期:2014-03-18
  • 在线发布日期: 2015-09-28
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