InSAR coherence magnitude estimation based on data stack

Mi Jiang, Xiaoli Ding, Zhi Wei Li, Chi Sheng Wang, Wu Zhu, Ling Hong Ke

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


In this paper, we present a novel approach for accurate coherence estimation, based on InSAR data stack. The main advantage of the proposed method is to meet the assumptions that the complex signals are local stationary, and meanwhile take into account the computational efficiency. Therefore, it is possible to obtain a very accurate coherence estimate without loss of resolution. Concretely, two-step is applied to adaptive algorithm: (1) nonparametric hypothesis test is firstly employed to cluster pixels with same statistical distributions; (2) the modified version of maximum likelihood fringe rate estimate is then used to eliminate the non-stationarity of complex signals. The accuracy of such estimation is improved by Cramer-Rao bounds. Experimental results with Envisat ASAR datasets over Los Angeles areas show that the new method performs well under different situations.
Original languageChinese (Simplified)
Pages (from-to)799-811
Number of pages13
JournalActa Geophysica Sinica
Issue number3
Publication statusPublished - 1 Jan 2013


  • Coherence estimation
  • Fringe rate estimate
  • Hypothesis test
  • Interferometric synthetic aperture radar (InSAR)

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

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