一种利用干涉敏感度方程的Pol-InSAR定标改进算法

目前国际上对极化SAR干涉定标技术的研究还处在理论和试验的阶段。所提出的算法存在诸多的局限性。本论文在分析极化SAR干涉系统误差源的基础上,提出了利用干涉敏感度方程的Pol-InSAR定标改进算法。该算法利用敏感度方程进行迭代参数估计,不仅提高了基线估计值的精度,而且克服了Kim等人(2000)提出的理论算法中的平地模型假设,扩大了Pol-InSAR定标算法的应用范围。最后通过模拟森林地区Pol-InSAR数据,仿真试验分析比较了改进算法与传统算法定标试验的结果,改进算法有很大的优势。

An Improved Pol-InSAR Calibration Algorithm Using Sensitivity Equation

Presently the development of researches on the calibration of Pol-InSAR at the stage of the theory and test. There are many limits in the current algorithm. A new improved algorithm is set up with using the sensitivity equation based on the analysis of the errors source. The algorithm get the parameter value by the iterative method based on the sensitivity equation. The algorithm not only improves the precision but also overcome the flaw of homogeneous flat model, reducing the limit condition. By the simulation experiments, it has been proved that the performances of the new improved algorithm is better than the conventional algorithm.