Many persistent scatterer interferometric SAR (PSInSAR) algorithms are based on the phase difference of connected persistent scatterer (PSs), which are usually spatially integrated to recover the deformation gradients with respect to a common reference point. In the presence of noise, this can lead to errors propagating throughout the whole PS network. In our work, we adapt the concept of connectivity originally proposed in the DInSAR context as a way to estimate the quality of the phase integration for each PS. We simulate PS networks under a variety of noise conditions and find that connectivity is consistently correlated with integration errors and provides complementary information compared to local quality parameters, such as temporal coherence. We discuss the use of connectivity to optimize the selection of spatial references and to discard measurements, which are more likely to be affected by integration errors. Finally, we validate our methodology on a real dataset from TerraSAR-X covering the Greater Copenhagen area.

中文翻译：

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用于检测 PSInSAR 中相位积分误差的连通性方法

许多持久散射体干涉SAR (PSInSAR) 算法基于相连的持久散射体(PS) 的相位差，这些算法通常进行空间积分以恢复相对于公共参考点的变形梯度。在存在噪声的情况下，这可能会导致错误在整个 PS 网络中传播。在我们的工作中，我们采用了最初在 DInSAR 背景下提出的连通性概念，作为估计每个 PS 相位积分质量的方法。我们在各种噪声条件下模拟 PS 网络，发现连通性始终与积分误差相关，并提供与局部质量参数（例如时间相干性）相比的补充信息。我们讨论使用连通性来优化空间参考的选择并丢弃更可能受到积分误差影响的测量。最后，我们在覆盖大哥本哈根地区的 TerraSAR-X 真实数据集上验证了我们的方法。