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A symmetric PDF for model-based decomposition using Quad-POL data

机译:使用Quad-POL数据进行基于模型的分解的对称PDF

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A new general orientation probability density function based on tree symmetric structures is proposed to deal with the reflection symmetric scattering case for forest areas. The resultant general volume model can interpret the emergence of scattering reflection symmetry in the measured data. The new general volume model can be expanded to deal with the non-reflection scattering case. Compared with Arii's decomposition, the proposed decomposition has several advantages, lower remainder scattering power, more reasonable range of the orientation angle and the standard deviation. To verify the performance of the proposed decomposition, an L band airborne ESAR Quad-POL image is applied in the experiment.
机译:提出了一种新的基于树对称结构的总方向概率密度函数,以处理森林区域的反射对称散射情况。所得的总体积模型可以解释测量数据中散射反射对称性的出现。新的通用体积模型可以扩展为处理非反射散射情况。与Arii分解相比,所提出的分解具有以下优点:较低的剩余散射能力,更合理的取向角范围和标准偏差。为了验证所提出分解的性能,在实验中使用了L波段机载ESAR Quad-POL图像。

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