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为了利用极化干涉合成孔径雷达(SAR)实现精确、快速的树高反演,该文改进了基于极化干涉模型的传统线性度计算公式,提出了树高反演置信度。对置信度高的散射单元,用各极化方式下复相干点拟合得到的直线结合ESPR IT算法快速确定体散射复相干的位置,查表得到树高;对置信度低的散射单元直接用ESPR IT算法近似树高。实验结果表明,与传统方法相比,改进的线性度模型效果更好;体散射复相干估计结果符合极化干涉模型;用置信度指导树高反演,运行时间约为全部利用极化干涉模型反演的25%。
In order to realize accurate and rapid tree inversion using Polarimetric SAR, this paper improves the traditional linearity calculation formula based on polarization interference model, and puts forward the confidence of tree height inversion. For the scattering unit with high confidence, the straight line combined with the complex coherence point in each polarization mode is used to quickly determine the position of the body-scattering complex coherence in conjunction with the ESPR IT algorithm, and the tree height is obtained through look-up table. For the scattering unit with low confidence, The ESPR IT algorithm approximates the height of the tree. The experimental results show that the improved linearity model is more effective than the traditional method. The results of bulk coherent complex coherence estimation are in accordance with the polarization interference model. The confidence inversion is used to guide the tree inversion and the running time is approximately the same as that of the polarization interferometry model Reverse 25%.