• DocumentCode
    25559
  • Title

    SBAS-DInSAR Parallel Processing for Deformation Time-Series Computation

  • Author

    Casu, Francesco ; Elefante, Stefano ; Imperatore, Pasquale ; Zinno, Ivana ; Manunta, Michele ; De Luca, Claudio ; Lanari, Riccardo

  • Author_Institution
    Ist. per il Rilevamento Elettromagn. dell´Ambiente (IREA), Naples, Italy
  • Volume
    7
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    3285
  • Lastpage
    3296
  • Abstract
    The aim of this paper is to design a novel parallel computing solution for the processing chain implementing the Small BAseline Subset (SBAS) Differential SAR Interferometry (DInSAR) technique. The proposed parallel solution (P-SBAS) is based on a dual-level parallelization approach and encompasses combined parallelization strategies, which are fully discussed in this paper. Moreover, the main methodological aspects of the proposed approach and their implications are also addressed. Finally, an experimental analysis, aimed at quantitatively evaluating the computational efficiency of the implemented parallel prototype, with respect to appropriate metrics, has been carried out on real data; this analysis confirms the effectiveness of the proposed parallel computing solution. In the current scenario, characterized by huge SAR archives relevant to the present and future SAR missions, the P-SBAS processing chain can play a key role to effectively exploit these big data volumes for the comprehension of the surface deformation dynamics of large areas of Earth.
  • Keywords
    geophysical techniques; geophysics computing; parallel processing; radar interferometry; remote sensing by radar; synthetic aperture radar; Differential SAR Interferometry; Earth surface deformation dynamics; P-SBAS processing chain; SAR archives; SBAS-DInSAR parallel processing; SBAS-DInSAR technique; Small BAseline Subset; deformation time-series computation; dual-level parallelization approach; future SAR missions; parallel computing solution; parallel solution; real data; Azimuth; Interferometry; Memory management; Parallel processing; Remote sensing; Surfaces; Synthetic aperture radar; Differential SAR Interferometry (DInSAR); Small BAseline Subset (SBAS); parallel computing;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2014.2322671
  • Filename
    6823083