Kalman filter phase unwrapping algorithm of SAR interferogram in low coherence region based on DEM
HAO Huadong1, LIU Guolin2, CHEN Xianlei1, CAO Zhentan2
1. Metrology Verification and Testing Institute, Zhoushan Institute of Calibration and Testing for Qualitative and Technical Supervision, Zhoushan 316021, China;
2. Geomatics College, Shandong University of Science and Technology, Qingdao 266510, China
Phase unwrapping is one of the key technologies for the utilization of Interferometric Synthetic Aperture Radar (InSAR) to conduct DEM extraction and small surface deformation measurement. The conventional Kalman filter phase unwrapping algorithm can obtain reliable results in flat terrain areas, but it will cause error transmission and not make the accurate inversion of surface deformation information in the steep terrain. This paper presents a Kalman filter phase unwrapping algorithm of SAR Interferogram based on DEM. With the DEM topographic information obtained by the U.S. Space Shuttle Radar Topography Mission (SRTM) to guide SAR Interferogram and implement unwrapping, it can improve the speed and accuracy of unwrapping. A comparison with the conventional Kalman filter algorithm shows that the proposed Kalman filter phase unwrapping algorithm can achieve good results, especially in improving unwrapping accuracy in the low coherence region by using the SRTM DEM information to guide unwrapping.
郝华东, 刘国林, 陈贤雷, 曹振坦. 基于DEM的低相干区SAR干涉图卡尔曼滤波相位解缠算法[J]. 国土资源遥感, 2013, 25(1): 50-55.
HAO Huadong, LIU Guolin, CHEN Xianlei, CAO Zhentan. Kalman filter phase unwrapping algorithm of SAR interferogram in low coherence region based on DEM. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 50-55.
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2013, Vol. 25 
