Two-Dimensional Phase Unwrapping for Topography Reconstruction: A Refined Two-Stage Programming Approach

Two-Dimensional Phase Unwrapping for Topography Reconstruction: A Refined Two-Stage Programming Approach

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The interferometric synthetic aperture radar (InSAR) is able to reconstruct the Earth's surface topography with a meter-level accuracy when two-dimensional phase unwrapping (PU) is properly implemented.The two-stage programming approach (TSPA) can convert the ill-posed PU problem into a well-posed problem by integrating perpendicular baseline diversity in multiple ($ge$2) interferograms, and is currently among the most commonly used multibaseline (MB) PU algorithms.Nevertheless, TSPA still faces two challenges in real-world applications: first, TSPA cannot ensure exceptional performance for any complex topographic scenarios, and second, the PU error of short-baseline interferometric pair tends to propagate doorking 1835-080 into the PU solution of long-baseline interferometric pair, degrading height accuracy.To overcome these issues, a refined TSPA (R-TSPA) MB PU algorithm is proposed in this article.R-TSPA contains two PU procedures under the framework of TSPA, where procedure 1 unwraps the flattened interferograms with TSPA, and procedure 2 re-estimates and reunwraps the erroneous ambiguity number gradients with TSPA.

It is demonstrated that R-TSPA outperforms the conventional single-baseline PU algorithms and TSPA with actual InSAR datasets in western Sichuan Province and Tibet Autonomous Region of China, revealing its a pea in the pod nursing bra potentials in accurately mapping topography and broadening application scopes of InSAR.