• DocumentCode
    2664172
  • Title

    A multiprocessing framework for SAR image processing

  • Author

    Andres, Christian ; Keil, Torben ; Herrmann, Raik ; Scheiber, Rolf

  • Author_Institution
    Microwaves & Radar Inst., Aachen
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    524
  • Lastpage
    527
  • Abstract
    This paper introduces a framework developed for image processing of synthetic aperture radar (SAR) images. It encapsulates features of modern hardware architectures, including symmetric and asymmetric multiprocessing, within an easy and intuitive to use application programming interface (API). The multiprocessing part is designed for unified usage of different architectures reaching from multicore processors to cluster of workstations to grids of clusters. So an application using the framework can be ported from one architecture to another without any changes in the source code. The framework builds the bottom layer of the processing system developed for the German Aerospace Center´s (DLR) new airborne SAR sensor, the F-SAR [1].
  • Keywords
    airborne radar; application program interfaces; geophysics computing; grid computing; image processing; multiprocessing systems; synthetic aperture radar; workstation clusters; F-SAR; SAR image processing; airborne SAR sensor; application programming interface; cluster grids; different architectures; multiprocessing framework; source code; synthetic aperture radar; workstation cluster; Azimuth; Hardware; Image processing; Libraries; Multicore processing; Radar imaging; Sensor arrays; Streaming media; Synthetic aperture radar; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4422846
  • Filename
    4422846