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Statistical Analysis of VHF-Band Tree Backscattering Using Forest Ground Truth Data and PO Scattering Model

机译:利用森林地面真理数据和PO散射模型对VHF带树后向散射进行统计分析

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This paper analyzes the statistical properties of the very high frequency (VHF)-band radar backscattering from coniferous trees by incorporating forest ground truth data into a physical-optics (PO) model that assumes horizontally transmit and receive polarizations and dominant double-bounce scattering from vertical stems standing on an undulating ground surface. The analysis shows that a statistically adequate model for the tree backscattering amplitude can be presented as a mixture of generalized gamma or lognormal distribution, and the mixture model can be reduced to a single density model if the trees with trunk volumes exceeding an appropriate threshold are to be taken into account. The generalized gamma density is shown to provide an appreciably better fit to the exceedance functions associated with the PO model data than that for the lognormal density. The results can be used to design statistically adequate models of forest clutter for VHF synthetic aperture radar systems.
机译:本文通过将森林地面真相数据合并到物理光学(PO)模型中来分析针叶树的甚高频(VHF)波段雷达后向散射的统计特性,该模型假设水平发射和接收极化以及主要的双反弹散射。立在起伏的地面上的垂直茎。分析表明,可以用广义伽玛或对数正态分布的混合表示在统计上适当的树后向散射模型,并且如果树干体积超过适当阈值的树要混合,则可以将混合模型简化为单一密度模型。被考虑在内。与对数正态密度相比,广义伽玛密度显示出与PO模型数据关联的超越函数的拟合度更好。结果可用于为VHF合成孔径雷达系统设计统计上适当的森林杂波模型。

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