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Phase unwrapping by synthetic weighted multigrid algorithm forinterferometric SAR,

机译:合成加权多网格算法用于干涉SAR的相位展开,

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摘要

Abstract: First it is demonstrated in the continuous domain that least squares phase unwrapping can be expressed by Poisson equation. Therefore, solutions of the Poisson problem can be naturally employed to solve the 2D phase unwrapping. Then the error propagation in the least squares phase unwrapping is investigated by means of the Green's function due to the equivalence between the least squares and the Green's function methods. Because multigrid algorithm for solving weighted least squares equations can provide stable solutions with fast convergence, it is developed here to be a new synthetic algorithm with Branch Cut algorithm providing the weighting factors and the initial values as a change. The new synthetic algorithm combines the advantages of the Branch Cut and the Weighted Multigrid algorithm together and results on real X- SAR data of Etna mountain, Italy, finally confirm its stable and fast performance. !11
机译:摘要:首先,在连续域中证明了最小二乘相位展开可以用泊松方程表示。因此,泊松问题的解决方案可以自然地用于解决2D相位展开问题。然后,由于最小二乘与格林函数方法之间的等价关系,利用格林函数研究了最小平方相位展开中的误差传播。由于用于求解加权最小二乘方程的多重网格算法可以提供具有快速收敛性的稳定解,因此,本文将其开发为一种新的综合算法,其中采用Branch Cut算法,将加权因子和初始值作为变化。新的综合算法结合了Branch Cut和加权Multigrid算法的优点,并在意大利埃特纳山的真实X-SAR数据上得到了结果,最终证明了其稳定和快速的性能。 !11

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