• DocumentCode
    142524
  • Title

    DEM reconstruction of mountainous area from two anti-parallel aspects of airborne InSAR data

  • Author

    Fangfang Li ; Donghui Hu ; Jiayin Liu ; Xiaolan Qiu ; Chibiao Ding

  • Author_Institution
    Key Lab. of Geo-Spatial Inf. Process. & Applic. Syst. Technol., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    386
  • Lastpage
    389
  • Abstract
    The geometry distortion phenomenon of SAR imaging arises in the mountainous scenarios due to the presence of strong terrain slopes. Because of phase discontinuities or the absence of valid phase, for single pass interferometric SAR (InSAR), it is difficult to recover accurate digital elevation model (DEM) in such areas. Fusion of two or more different aspects of InSAR data is practicable to deal with this problem. In this paper, the processing procedures of airborne InSAR data are presented. In order to decrease the processing error of every single aspect data, an iterative motion compensation (MOCO) method is used. Besides, the interferometric phase of shadow area is linearly complemented before phase unwrapping to avoid error spreading. Experimental results using two anti-parallel aspects of airborne InSAR data validate the feasibility of fusion.
  • Keywords
    airborne radar; digital elevation models; image reconstruction; motion compensation; radar imaging; radar interferometry; remote sensing by radar; synthetic aperture radar; DEM reconstruction; SAR imaging; airborne InSAR data; digital elevation model; geometry distortion phenomenon; iterative MOCO method; iterative motion compensation; mountainous area; phase discontinuity; processing error; single pass interferometric SAR; terrain slope; Aerospace electronics; Geometry; Iterative methods; Motion compensation; Radar polarimetry; Surfaces; DEM; airborne InSAR; mosaicing; motion compensation; phase unwrapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946439
  • Filename
    6946439