噪声条件下相位解缠路径优化算法研究

相位解缠绕是干涉SAR获取数字高度图数据的关键部分,它直接影响着数据的精度。该文在Goldstein支切法的基础上进行了改进,提出了根据残差点生成质量控制图,运用三叉树堆栈的方法,选择最优的积分路径,阻止了由于支切线设置错误所引起的误差的传播,既保持了支切法速度快的特点,又优化了算法,提高了解缠精度。利用仿真数据对Goldstein算法和改进算法的解缠精度进行了定量比较分析,还对ERS1、ERS2真实SAR数据进行了解缠处理。结果表明,改进算法在信噪比较小的情况下,仍能有效限制误差的全局传播,提高了相位解缠精度。

Phase Unwrapping of Noisy SAR Interferograms by Optimizing the Path

Phase unwrapping is so important that it determines the precision of the DEM of INSAR directly. To improve the precision of phase unwrapping, a new method based on method of Goldstein is given. Qualification data are produced with the inconsistent points to determine the optimal integral path. With this method, the error is restricted in a small area, the operation keeps fast, and the precision is improved. With the help of simulation of INSAR data, the capability of the two methods is compared. The result of phase unwrapping of ERS1/ERS2-SAR data shows the capability of the new method.