• DocumentCode
    2604914
  • Title

    Reconstruction of complex dielectric profiles via quadratic models

  • Author

    Pierri, Rocco ; Isernia, Tammaso ; Pascazio, Vito ; Tamburrino, Antonello

  • Author_Institution
    Seconda Univ. de Napoli, Rome, Italy
  • Volume
    4
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    2083
  • Abstract
    The electromagnetic inverse scattering problem deserves special attention in many branches of applied science. Besides theoretical uniqueness of a solution and limitations induced from measurement errors, the development of solution algorithms effectively capable to retrieve the unknown parameters in a reliable way should be addressed. In order to discuss factors affecting accuracy and reliability of solution algorithms the authors refer in the following, by the sake of simplicity, to a two dimensional (2D) geometry. All results can be extended to the 3D case. The authors consider an inhomogeneous object, whose compact support is Ω, imbedded in an homogeneous medium. Equations are developed for the scattered field. The inverse scattering problem is solved by a quadratic model
  • Keywords
    geophysical techniques; inverse problems; radar imaging; radar theory; remote sensing by radar; terrestrial electricity; complex dielectric profile reconstruction; electromagnetic inverse scattering problem; geophysical measurement technique; inverse problem; land surface; quadratic model; radar imaging; radar remote sensing; radar scattering; solution algorithm; terrain mapping; Buried object detection; Dielectrics; Electromagnetic modeling; Electromagnetic scattering; Equations; Ground penetrating radar; Inverse problems; Permittivity; Radar detection; Radar scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516895
  • Filename
    516895