Nonlinear Model for InSAR Baseline Error

Guang Liu, Ramon F. Hanssen, Huadong Guo, Huanyin Yue, Zbigniew Perski

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

Synthetic aperture radar (SAR) interferometric baseline parameters form important input for SAR interferometry. In this paper, a nonlinear error model is established for the SAR interferometric baseline and parameterized as a polynomial based on the natural nonlinearity of the orbit of a satellite. Unlike conventional models, the proposed model takes into account the nonlinear part of the baseline error. A theoretical derivation is performed based on the imaging geometry of interferometric SAR, and the results of the analysis show that the parameters of the nonlinear baseline error model can be obtained from the relationship between the orbit, the nominal baseline, the baseline error, and the residual interferogram phase. A sample data set from the Japanese Earth Resources Satellite-1 (JERS-1) L-band SAR is used to validate the proposed model, and the results indicated that the compensation of the residual interferogram phase of the test data is superior to that provided by conventional models.

Original languageEnglish
Article number7478028
Pages (from-to)5341-5351
Number of pages11
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume54
Issue number9
DOIs
Publication statusPublished - 1 Sep 2016

Keywords

  • Nonlinear baseline error
  • residual interferogram phase
  • synthetic aperture radar interferometry (InSAR)
  • Time-Varying baseline model

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