Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14708
Title: A refined strategy for removing composite errors of SAR interferogram
Authors: Xu, B
Li, ZW
Wang, QJ
Jiang, M
Zhu, JJ
Ding, XL 
Keywords: Composite errors
Elevation-dependent phase error
Linear model
Quadratic model
Synthetic aperture radar interferometry (InSAR)
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE geoscience and remote sensing letters, 2014, v. 11, no. 1, 6509971, p. 143-147 How to cite?
Journal: IEEE geoscience and remote sensing letters 
Abstract: In standard differential synthetic aperture radar interferometry, there could still be a residual tilt (orbital error) in the interferometric phase due to inaccurate baseline estimation. We demonstrated theoretically that the orbital errors were partially elevation dependent. On the basis of this, we introduced an elevation-dependent item to the conventional polynomial model to simulate, and therefore, compensate the orbital errors, as well as the small scale topographic and/or topography-related phase errors. Robust regression approach was suggested to determine the parameters of the proposed model. The model was validated with both synthetic and real ALOS PALSAR data of the Zhouqu, China mudslide. The synthetic test indicated that upon applying the refined model, the accuracies of phase measurements were improved by nearly two times, compared to those using conventional linear and quadratic models. The real data experiment indicated that after utilizing the refined model, the correlation between the interferogram and the digital elevation model of Zhouqu reduced to about 1/5 of those using linear and quadratic models. This demonstrates that the elevation-dependent phase components have been largely removed by the new model. More importantly, the interferogram corrected by the new model visibly disclosed the deformation area affected by the Zhouqu mudslide.
URI: http://hdl.handle.net/10397/14708
ISSN: 1545-598X
DOI: 10.1109/LGRS.2013.2250903
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