• DocumentCode
    1464421
  • Title

    Detection of Double Scatterers in SAR Tomography

  • Author

    Pauciullo, Antonio ; Reale, Diego ; De Maio, Antonio ; Fornaro, Gianfranco

  • Author_Institution
    Ist. per il Rilevamento Elettromagnetico dell´´Ambiente, Consiglio Naz. delle Ric., Naples, Italy
  • Volume
    50
  • Issue
    9
  • fYear
    2012
  • Firstpage
    3567
  • Lastpage
    3586
  • Abstract
    Synthetic aperture radar (SAR) tomography is a technique that extends the concept of SAR interferometry for the accurate localization and monitoring of ground scatterers. Data that are being acquired by the new high resolution SAR sensors offer new perspectives in the 3-D reconstruction and monitoring of urban areas and, particularly, of individual buildings. SAR tomography allows increasing the density of measurements by handling situations where multiple stable scatterers interfere in the same resolution cell. The detection of reliable, i.e., persistent, scatterers is however a challenging issue. In this paper, we investigate three detection approaches: The first is based on a modification of information theoretical criteria; the last two are based on the generalized likelihood ratio test. Theoretical performances are analyzed in details on simulated data, and results of the application to real data from both medium and very high resolution sensors are also provided.
  • Keywords
    geophysical image processing; image reconstruction; remote sensing by radar; synthetic aperture radar; 3D reconstruction; SAR interferometry; SAR tomography; double scatterer detection; ground scatterers localization; ground scatterers monitoring; individual buildings; synthetic aperture radar; urban areas; Detectors; Estimation; Image resolution; Monitoring; Tomography; Vectors; Multidimensional SAR imaging; SAR tomography; scatterer detection;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2183002
  • Filename
    6165350