多基线相位解缠绕是多基线干涉合成孔径雷达信号处理中的关键步骤,但是传统的多基线相位解缠绕算法存在噪声鲁棒性差的缺点.为了解决这一问题,提出了一种基于L^1范数的多基线相位解缠绕算法.该算法通过借助L^1范数这一优化模型,将多基线干涉合成孔径雷达获得的多幅干涉相位图之间的关系融入到了传统单基线L^1范数相位解缠绕的优化模型中.仿真试验的结果表明,该方法具有较好的解缠绕精度,可适用于对复杂地形的测绘.
Multi-baseline phase unwrapping is a critical processing procedure of multi-baseline synthetic aperture radar interferometry (InSAR). However, it has a disadvantage that it is not robust to noise. In order to solve this problem, in this paper, an L^1-norm based single-baseline phase unwrapping method is proposed. By using the L^1-norm optimization model, the relation among interferograms obtained by multi- baseline InSAR is combined in the conventional signle-baseline L^1-norm phase unwrapping optimization model with this algorithm. Finally, simulated experiments demonstrate that this method has a better accuracy on phase unwrapping results and that it can be applied to measuring the complex terrain.