• DocumentCode
    576433
  • Title

    Operational TomoSAR processing using TerraSAR-X high resolution spotlight stacks from multiple view angles

  • Author

    Wang, Yuanyuan ; Zhu, Xiao Xiang ; Shi, Yilei ; Bamler, Richard

  • Author_Institution
    Lehrstuhl fur Methodik der Fernerkundung (LMF), Tech. Univ. Munchen (TUM), Munich, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7047
  • Lastpage
    7050
  • Abstract
    With the availability of meter resolution space-borne SAR systems, urban monitoring using SAR Tomography (TomoSAR) becomes increasingly popular, because of its layover separation capability. However, compared to Persistent Scatterer Interferometry (PSI), TomoSAR applications are much more computationally expensive. This article introduces a TomoSAR processing system for long-term large urban area mapping and monitoring. Two new features were introduced: 1. PSI was integrated into the currently available TomoSAR algorithms (e.g. TSVD, SVD-Wiener, and SL1MMER) to increase the overall computational efficiency; 2. results from multiple view angles were fused to provide full coverage of each building façade. This processing system handles an entire TerraSAR-X high resolution spotlight scene in an affordable time, achieving scatterer density up to 1 million scatterer/km2 from a single stack, comparing to 60 thousand to 100 thousand scatterer/km2 for PSI.
  • Keywords
    geophysical image processing; geophysical techniques; image resolution; monitoring; radar imaging; spaceborne radar; synthetic aperture radar; PSI; SAR tomography; TerraSAR-X; TomoSAR processing system; meter resolution spaceborne SAR; spotlight scene; spotlight stack; urban area mapping; urban monitoring; view angle; Buildings; Computational efficiency; Estimation; Monitoring; Synthetic aperture radar; Tomography; Urban areas; PSI; SAR; SAR Tomography; urban monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351948
  • Filename
    6351948