基于有向体模型的植被参数反演及室内宽带实验研究

Investigation on Vegetation Parameters Invesion Algorithm Based on Oriented Volume Model and Indoor Wide-band Measurements

该文对具有极化特征的植被提出一种基于有向体(OV)模型的参数反演算法,并尝试在微波暗室内构建全极化干涉合成孔径雷达半实物宽带测量系统,对模型及算法进行实验验证。根据OV模型的植被特征,以同极化之差所代表的二面角散射机理作为地形相位点的判别依据,结合计算平均值和标准差的方法反演出植被高度。接下来,在环境可控的微波暗室内构建了实验系统,采用两个高度已知的三面角对干涉基线距进行校准,提高了参数反演精度。实验结果表明:在场景的地体幅度比较大的情况下,植被反演高度与实际高度的误差仅为0.03 m,全频带内的高度反演误差不超过0.2 m,说明了反演算法的有效性。

A vegetation parameters inversion algorithm based on Oriented Volume（OV） model is presented for vegetation with polarization characteristics,and the model and the algorithm is verified with a hard-in-loop polarimetric SAR interferometriy system constructed in an anechoic chamber.According to the vegetation characteristics of OV model,the difference of co-polarization represented dihedral scattering mechanism is discriminated as a basis for topographic phase,finally the retrieval vegetation height is gained by calculating the average and standard deviation.Next,a hard-in-loop broadband polarimetric SAR interferometric system is constructed in a controlled environment.The baseline is calibrated by two trihedral angles with height known.The experimental results show that the retrieval height is fluctuated 0.03 m to the actual height,and the inversion error is less than 0.2 m in the whole band,which explain the feasibility of model and the inversion algorithm.