• DocumentCode
    291640
  • Title

    SAR simulation of natural landscapes

  • Author

    Franceschetti, G. ; Migliaccio, M. ; Riccio, D.

  • Author_Institution
    Dipartimento di Ingegneria Elettronica, Naples Federico II Univ., Italy
  • Volume
    2
  • fYear
    1994
  • fDate
    8-12 Aug. 1994
  • Firstpage
    1181
  • Abstract
    This paper considers simulation of the SAR raw signal of natural landscapes. Within this framework, the format of the input data is critical. In fact, they are usually described by digital input maps which are too scarcely sampled for the application we are concerned. In the authors´ case, they deal with digital elevation models, i.e., with the elevation input data. In order to interpolate such a data they employ the classical cubic spline interpolation and a fractal method, the latter based on the random midpoint displacement technique. Corresponding SAR images are generated and presented. Objective norms are further employed in order to compare simulated results with actual ones.
  • Keywords
    geophysical signal processing; geophysical techniques; radar applications; radar imaging; remote sensing by radar; synthetic aperture radar; topography (Earth); DEM; SAR simulation; classical cubic spline interpolation; digital elevation model; fractal method; geophysical measurement technique; land surface; land surface topography; natural landscape; objective norm; radar imaging imagery; radar remote sensing; random midpoint displacement; signal processing; synthetic aperture radar; terrain mapping; Digital elevation models; Fractals; IEEE members; Image generation; Interpolation; Layout; Polynomials; Solid modeling; Spline; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399378
  • Filename
    399378