一种基于频率估计改进的InSAR相位解缠算法

bstract: In the signal processing of interferometric synthetic aperture radar (InSAR) data, phase unwrapping is a key step directly impact the accuracy and reliability of the products. With the wide application of SAR data such as TanDEM-X and TerraSAR-X, the resolution of the data have been able to reach to metric or submetric resolution. Interferograms of urban areas always have large layover in high-rise buildings areas due to the oblique side-looking configuration of SAR sensors. However, the traditional phase unwrapping procedure often performs incorrectly when it applies to urban areas because of the complex topography and discontinuities at building layover. In this paper, a novel method based on frequency estimation is proposed to improve the phase unwrapping step. A two-step method for estimating local frequencies is used for layover phase removal before phase unwrapping. The result of the unwrapping result with simulated images is presented to prove the potential of the method.