Osmanoglu Batuhan, Dixon Timothy H, Wdowinski Shimon, Cabral-Cano Enrique
University of Miami, Rosenstiel School of Marine & Atmospheric Science-Marine Geology and Geophysics, 4600 Rickenbacker Causeway, Miami, Florida 33149, USA.
Appl Opt. 2011 Jul 1;50(19):3205-20. doi: 10.1364/AO.50.003205.
Phase unwrapping is a key procedure in interferometric synthetic aperture radar studies, translating ambiguous phase observations to topography, and surface deformation estimates. Some unwrapping algorithms are conducted along specific paths based on different selection criteria. In this study, we analyze six unwrapping paths: line scan, maximum coherence, phase derivative variance, phase derivative variance with branch-cut, second-derivative reliability, and the Fisher distance. The latter is a new path algorithm based on Fisher information theory, which combines the phase derivative with the expected variance to get a more robust path, potentially performing better than others in the case of low image quality. In order to compare only the performance of the paths, the same unwrapping function (phase derivative integral) is used. Results indicate that the Fisher distance algorithm gives better results in most cases.
相位解缠是干涉合成孔径雷达研究中的关键步骤，它将模糊的相位观测值转换为地形和表面变形估计值。一些解缠算法是根据不同的选择标准沿着特定路径进行的。在本研究中，我们分析了六种解缠路径：线扫描、最大相干性、相位导数方差、带分支切割的相位导数方差、二阶导数可靠性和费舍尔距离。后者是一种基于费舍尔信息理论的新路径算法，它将相位导数与期望方差相结合以获得更稳健的路径，在图像质量较低的情况下可能比其他算法表现更好。为了仅比较路径的性能，使用了相同的解缠函数（相位导数积分）。结果表明，费舍尔距离算法在大多数情况下能给出更好的结果。
