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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Univ Elect Sci & Technol China Sch Elect Engn Chengdu Peoples R China
出 版 物:《IET RADAR SONAR AND NAVIGATION》 (IET Radar Sonar Navig.)
年 卷 期:2011年第5卷第3期
页 面:296-304页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学]
主 题:INTERFEROMETRY SYNTHETIC aperture radar ALGORITHMS KALMAN filtering TECHNOLOGY FREQUENCY spectra MULTISENSOR data fusion
摘 要:A new multi-baseline phase unwrapping algorithm based on the unscented Kalman filter (UKF) for SAR interferometry is proposed. This method is the result of combining a UKF with a path-following strategy and an omnidirectional local phase slope estimator. This technology simultaneously performs noise filtering and phase unwrapping by an optimal data fusion approach. In addition, phase slope will be directly estimated from the sample frequency spectrum of the complex interferogram, by which the underestimation of phase slope is overcome. Results obtained with synthetic and real data validate the effectiveness of the proposed method.