结合边缘检测的扩展卡尔曼滤波多基线InSAR高程重建方法

Extended kalman filter multi-baseline InSAR elevation reconstruction method combined with edge detection

针对多基线InSAR高程重建方法鲁棒性不强的问题,提出了一种结合边缘检测的扩展卡尔曼滤波多基线InSAR高程重建方法。该方法利用最大似然高程反演算法获得地形的粗略高程,并进行滤波处理,再通过sobel算子提取地形的不连续边界,在连续区域用扩展卡尔曼滤波相位展开算法进行高程重建,在不连续边界区域用基于全变分(TV)的最大后验算法进行高程重建。该方法将单基线与多基线InSAR高程重建技术的优点结合起来,提高了算法的鲁棒性。通过2组仿真实验结果验证了该方法的有效性。

Aiming at the problem of weak robustness of the multi-baseline InSAR elevation reconstruction method,an extended Kalman filtering multi-baseline InSAR elevation reconstruction method combined with edge detection was proposed.The rough elevation of the terrain is obtained through the maximum likelihood estimation algorithm and is filtered,and then the discontinuous boundary of the terrain is extracted from the filtered rough elevation of the terrain through the sobel operator.The extended Kalman filtering phase unwrapping algorithm is used to reconstruct the elevation of the tarrain in the continuous regions,and the maximum posterior algorithm based on total variation(TV)is used to obtain the elevation of the tarrain in the boundary regions.This method combines the advantages of single-baseline and multi-baseline InSAR elevation reconstruction techniques to improve the robustness of the algorithm.