InSAR coherence estimation for small data sets and its impact on temporal decorrelation extraction

Mi Jiang, Xiaoli Ding, Zhiwei Li, Xin Tian, Chisheng Wang, Wu Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

32 Citations (Scopus)


A novel coherence estimation method for small data sets is presented for interferometric synthetic aperture radar (SAR) (InSAR) data processing and geoscience applications. The method selects homogeneous pixels in both the spatial and temporal spaces by means of local and nonlocal adaptive techniques. Reliable coherence estimation is carried out by using such pixels and by correcting the bias in the estimated coherence caused by the non-Gaussianity in high-resolution SAR scenes. As an example, the proposed method together with coherence decomposition is applied to extract the temporal decorrelation component over an area in Macao. The results show that the proposed algorithms work well over various types of land cover. Moreover, the coherence change with time can be more accurately detected compared to other conventional methods.
Original languageEnglish
Pages (from-to)6584-6596
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number10
Publication statusPublished - 1 Jan 2014


  • Coherence estimation
  • Interferometric synthetic aperture radar (InSAR)
  • Small data set
  • Temporal decorrelation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences


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