利用基于极化干涉测量的基本原理和相干散射模型。提出了基于模拟加温-退火算法的极化干涉雷达数据地表植被参数的反演算法，首先，对极化干涉测量的基本原理和一个考虑了地表和植被散射的二层相干散射模型进行了阐述。接着，对模拟退火算法的基本理论和基于模拟加温-退火算法的地表植被参数反演模型进行了论述，最后，利用和田地区1994年10月9日和10日的航天飞机SIR-CL波段单视散射短阵复数据进行了地表植被参数反演的计算，将反演结果与实测数据比较，表明该反演算法能以较好的精度获取地表植被的高度。

Based on the basic principal of ploarimetric SAR interferometry(Pol-InSAR)and coherent scattering model, the inversion algorithm of vegetation parameters based on Simulated Annealing Algorithm is presented. First, the basic principal of Pol-InSAR and the two-layer coherent scattering model taken into account the scattering of surface and vegetation are discussed. Then, the basic theory of Simulated Annealing Algorithm and the inversion model based on Simulated Melt-Annealing Algorithm are discussed. At last, utilizing the complex single Sinclar matrix data of spaceborne SIR-C L-band , on October 9 and 10, 1994, the inversion of vegetation parameters is implemented. Comparison of the result of inversion with field measurement data indicates that the inversion algorithm can obtain the height of vegetation with good accuracy .