InSAR Kalman Filter Phase Unwrapping Algorithm Based on SRTM DEM

PU (phase unwrapping) is the key step and important problem in DEM (digital elevation model) extraction and the measurement of surface deformation of InSAR (Interferometric synthetic aperture radar). The CKFPUA (conventional Kalman filter phase unwrapping algorithm) can obtain reliable results in the flat terrain areas, but it caused error transmission not making the accurate inversion of surface deformation information in the steep terrain. Considering this situation, so it needs to introduce topographic information for guiding phase unwrapping. Here the 90 m resolution DEM data have been used and it is obtained by SRTM (shuttle radar topography mission) measured jointly by NASA (National Aeronautics and Space Administration) and NIMA (National Imaging Mapping Agency) of U.S. Department of Defense. This paper presents a SD-KFPUA (Kalman filter phase unwrapping algorithm) based on SRTM DEM. With SRTM DEM directing InSAR image to implement phase unwrapping, the speed and accuracy are improved. By analyzing with the conventional Kalman filter phase unwrapping algorithms, it is shown that the proposed method can achieve good results in particular to improve unwrapping accuracy in the low coherence region.