A joint image coregistration, phase noise suppression, and phase unwrapping method based on subspace projection for multibaseline InSAR systems

被引:29
作者
Li, Zhenfang [1 ]
Bao, Zheng [1 ]
Suo, Zhiyong [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 71007, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2007年 / 45卷 / 03期
关键词
digital elevation model (DEM); image coregistration; interferogram; multibaseline; phase unwrapping; subspace projection; synthetic aperture radar interferometry (InSAR);
D O I
10.1109/TGRS.2006.888143
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
As is well known, image coregistration, interferometric phase noise suppression, and phase unwrapping are three key processing procedures of synthetic aperture radar interferometry (InSAR). The three procedures are cascaded in the conventional processing flow of InSAR. Unlike the conventional processing flow, in this paper we propose a joint processing idea to carry out image coregistration, interferometric phase noise filtering, and phase unwrapping simultaneously based on subspace projection for multibaseline InSAR systems. The joint processing method can perform the fine coregistration of all SAR images implicitly by extracting the correlation information in the neighboring pixel sets, suppress the phase noise by utilizing the orthogonality of the signal subspace and the corresponding noise subspace, and optimally estimate the unwrapped interferometric phases (or the terrain heights) by combining the pixel coherence and the baseline diversity of a multibaseline InSAR system. Simulated results are presented to verify the effectiveness of the joint processing method.
引用
收藏
页码:584 / 591
页数:8
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