测绘通报 ›› 2017, Vol. 0 ›› Issue (8): 84-87.doi: 10.13474/j.cnki.11-2246.2017.0261

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Joint Scatterers Processing for Time-Series SAR Interferomtry with KSTEST Inference

ZHANG Jinbao1,2,3, LÜ Xiaolei1,2, LU Xiaojun4   

  1. 1. Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China;
    2. Key Laboratory of Spatial Information Processing and Application System Technology, Chinese Academy of Sciences, Beijing 100190, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. China International Engineering Consulting Corporation, Beijing 100048, China
  • Received:2016-12-12 Revised:2017-03-15 Online:2017-08-25 Published:2017-08-29

Abstract: Joint scatterers InSAR is the second-generation time-series InSAR technology, comprised of three technical procedures:building a joint scatterers signal model, performing a goodness-of-fit test, and conducting a spatial adaptive filtering. Based on one-dimensional KSTEST inference, the essay advances method of non-parametric goodness-of-fit test based on joint scatterers. In comparison with the results of conventional multi-temporal InSAR, the testing data based on the new methods have attested to an effective elevation in the spatial density of deformation monitoring points and a further improvement in the deformation monitoring capacity.

Key words: joint scatterers, InSAR, distributed scatterers, goodness-of-fit test, KSTEST, multi-temporal InSAR

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