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Combining Multi-Temporal SAR Differential Interferograms: A Curvature Based Method

机译:组合多时间SAR差分干涉图:基于曲率的方法

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Given a series of SAR acquisitions, when a sufficient number of differential interferograms between different dates are computed and the phases unwrapped, the phases of each possible time interval can be obtained through a linear combination of the computed ones, i.e. by the solution of a determined linear system of equations. Usually (e.g. with ERS data), not all the interferograms necessary to obtain a determined system can be computed, unless one accepts that only few pixels (corresponding to stable point-like scatterers) remain coherent. In fact, spatial and temporal baselines can be very large. Previous works proposed to solve the under-determination of this system by singular value decomposition, i.e., by assuming that the solution (i.e. the terrain displacement) has minimum velocity. In this work, a different assumption is exploited in order to find a determined solution to the problem of combining SAR multi-temporal differential interferometric measurements. The proposed approach is based on the idea that the solution should have minimum curvature. Tests performed on simulated and ERS SAR real data confirm the validity of the method.
机译:给定一系列SAR采集时,当计算不同日期之间的足够数量的差分干涉图并且展开阶段,通过计算的那些的线性组合可以获得每个可能的时间间隔的相位,即通过确定的解决方案获得线性方程系统。通常(例如,与ERS数据),除非一个人接受仅接受几个像素(对应于稳定点状散射体)保持连贯的所有接触器,否则也可以计算获得所确定的系统所需的所有干涉图。事实上,空间和时间基线可能非常大。以前的作品提出通过奇异值分解来解决该系统的底部确定,即,通过假设解决方案(即地形位移)具有最小速度。在这项工作中,利用不同的假设,以便找到确定SAR多时间差分干涉测量的问题的确定解决方案。所提出的方法是基于解决方案应具有最小曲率的想法。对模拟和SAR实际数据执行的测试确认了该方法的有效性。

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