A refined strategy for removing composite errors of SAR interferogram

Bing Xu, Zhi Wei Li, Qi Jie Wang, Mi Jiang, Jian Jun Zhu, Xiaoli Ding

Research output: Journal article publicationJournal articleAcademic researchpeer-review

41 Citations (Scopus)


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.
Original languageEnglish
Article number6509971
Pages (from-to)143-147
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number1
Publication statusPublished - 1 Jan 2014


  • Composite errors
  • elevation-dependent phase error
  • linear model
  • quadratic model
  • synthetic aperture radar interferometry (InSAR)

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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