• DocumentCode
    1884705
  • Title

    High resolution differential interferometric stacking via adaptive spatial phase filtering

  • Author

    Goel, Kanika ; Adam, Nico

  • Author_Institution
    Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Wessling, Germany
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    1341
  • Lastpage
    1344
  • Abstract
    We present a new adaptive spatial filtering algorithm for accurate estimation of differential interferometric phase and coherence, to better support deformation monitoring techniques such as SB AS. The objective is high resolution interferometric phase estimation even in non-urban areas, where there is high phase noise. The typical method to enhance interferograms is a complex boxcar (rectangular) multilooking, leading to a low spatial resolution. This is a disadvantage, especially, with the launch of advanced SAR satellites such as TerraSAR-X. We propose a technique which provides improved interferograms without loosing the high geometrical resolution. Also, the coherence of the interferograms is estimated, which is important for various applications e.g. guiding phase unwrapping algorithms, selection of pixels for deformation monitoring etc. Our technique is based on identifying statistically homogenous pixels in a neighbourhood, and using them for phase flattening and finally, phase filtering via adaptive complex averaging (multilooking). We demonstrate our technique on TerraSAR-X data of Germany´s Bierwang gas reservoir.
  • Keywords
    hydrocarbon reservoirs; phase noise; radar interferometry; remote sensing by radar; synthetic aperture radar; Bierwang gas reservoir; Germany; SBAS technique; TerraSAR-X; adaptive spatial phase filtering; coherence; deformation monitoring techniques; geometrical resolution; high resolution differential interferometric stacking; interferometric phase estimation; phase noise; Decision support systems; Economic indicators; Differential Interferograms; High Resolution SAR; Non-Urban Areas; Phase Filtering; Small Baseline Subset Algorithm (SBAS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049448
  • Filename
    6049448