A Multi-baseline Data Fusion Algorithm for Distributed Satellites SAR Interferometry by Combining Iterative and Mazimum-Likelihood Methods

摘要：

In distributed satellites interferometric SAR (InSAR) system,short baselines usually make higher height ambiguity but the interferometric phase can be unwrapped much more easily,while the long baselines usually cause more complicated phase unwrapping problems but have less height ambiguity.Its of obvious significance if we can combine the data from baselines of different length.In this paper,a multibaseline InSAR data fusion method based on iterative and maximum-likelihood methods is proposed to combine the information from different baselines and obtain more accurate digital elevation model (DEM) compared with single baseline. Our simulation shows that the proposed algorithm is more effective and accurate than iterative or maximum-likelihood method in multibaseline InSAR system,and it is especially appropriate for the rugged terrain height retrieving or processing highly ambiguous data,for which commonly used ,>ase unwrapping algorithms may fail.

关键词： InSAR Multi-baseline Data Fusion Iterative algorithm Mazimum-likelihood algorithm Phase Unwrapping

作者: Shi Xiaojin Zhang Yunhua

作者单位: Center for Space Science and Applied Research,Chinese Academy of Sciences,Beijing,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 165-168

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）